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2. Image Analysis and Processing. ICIAP 2022 Workshops : ICIAP International Workshops, Lecce, Italy, May 23–27, 2022, Revised Selected Papers, Part II
- Author
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Pier Luigi Mazzeo, Emanuele Frontoni, Stan Sclaroff, Cosimo Distante, Pier Luigi Mazzeo, Emanuele Frontoni, Stan Sclaroff, and Cosimo Distante
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Machine learning, Computer networks
- Abstract
The two-volume set LNCS 13373 and 13374 constitutes the papers of several workshops which were held in conjunction with the 21st International Conference on Image Analysis and Processing, ICIAP 2022, held in Lecce, Italy, in May 2022.The 96 revised full papers presented in the proceedings set were carefully reviewed and selected from 157 submissions.ICIAP 2022 presents the following Sixteen workshops:Volume I:GoodBrother workshop on visual intelligence for active and assisted livingParts can worth like the Whole - PART 2022Workshop on Fine Art Pattern Extraction and Recognition - FAPERWorkshop on Intelligent Systems in Human and Artificial Perception - ISHAPE 2022Artificial Intelligence and Radiomics in Computer-Aided Diagnosis - AIRCADDeep-Learning and High Performance Computing to Boost Biomedical Applications - DeepHealthVolume II: Human Behaviour Analysis for Smart City Environment Safety - HBAxSCESBinary is the new Black (and White): Recent Advances on Binary Image ProcessingArtificial Intelligence for preterm infants'healthCare - AI-careTowards a Complete Analysis of People: From Face and Body to Clothes - T-CAPArtificial Intelligence for Digital Humanities - AI4DHMedical Transformers - MEDXFLearning in Precision Livestock Farming - LPLFWorkshop on Small-Drone Surveillance, Detection and Counteraction Techniques - WOSDETCMedical Imaging Analysis For Covid-19 - MIACOVID 2022Novel Benchmarks and Approaches for Real-World Continual Learning - CL4REAL
- Published
- 2022
3. Recent Trends in AI Enabled Technologies : First International Conference, ThinkAI 2023, Hyderabad, India, December 29, 2023, Revised Selected Papers
- Author
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Gangamohan Paidi, Suryakanth V Gangashetty, Ashwini Kumar Varma, Gangamohan Paidi, Suryakanth V Gangashetty, and Ashwini Kumar Varma
- Subjects
- Artificial intelligence, Machine learning, Image processing—Digital techniques, Computer vision, Image processing
- Abstract
This book constitutes the refereed proceedings of the First International Conference on Recent Trends in AI Enabled Technologies, ThinkAI 2023, which took place in Hyderabad, India, in December 2023. The 7 full papers presented in these proceedings were carefully reviewed and selected from 51 submissions. The conference focuses on on up to date topics and recent trends in artificial intelligence and related technologies.
- Published
- 2024
4. Intelligent Computing for Sustainable Development : First International Conference, ICICSD 2023, Hyderabad, India, August 25–26, 2023, Revised Selected Papers, Part II
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S. Satheeskumaran, Yudong Zhang, Valentina Emilia Balas, Tzung-pei Hong, Danilo Pelusi, S. Satheeskumaran, Yudong Zhang, Valentina Emilia Balas, Tzung-pei Hong, and Danilo Pelusi
- Subjects
- Machine learning, Image processing—Digital techniques, Computer vision, Artificial intelligence, Image processing
- Abstract
The two-volume proceedings set CCIS 2121 and 2122 constitutes the refereed proceedings of the First International Conference on Intelligent Computing for Sustainable Development, ICICSD 2023, which took place in Hyderabad, India, during August 25–26, 2023. The 46 papers included in these proceedings were carefully reviewed and selected from 138 submissions. They focus on digital healthcare, renewable energy, smart cities, digital farming, and autonomous systems.
- Published
- 2024
5. Intelligent Computing for Sustainable Development : First International Conference, ICICSD 2023, Hyderabad, India, August 25–26, 2023, Revised Selected Papers, Part I
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S. Satheeskumaran, Yudong Zhang, Valentina Emilia Balas, Tzung-pei Hong, Danilo Pelusi, S. Satheeskumaran, Yudong Zhang, Valentina Emilia Balas, Tzung-pei Hong, and Danilo Pelusi
- Subjects
- Machine learning, Image processing—Digital techniques, Computer vision, Artificial intelligence, Image processing
- Abstract
The two-volume proceedings set CCIS 2121 and 2122 constitutes the refereed proceedings of the First International Conference on Intelligent Computing for Sustainable Development, ICICSD 2023, which took place in Hyderabad, India, during August 25–26, 2023. The 46 papers included in these proceedings were carefully reviewed and selected from 138 submissions. They focus on digital healthcare, renewable energy, smart cities, digital farming, and autonomous systems.
- Published
- 2024
6. Wisdom, Well-Being, Win-Win : 19th International Conference, IConference 2024, Changchun, China, April 15–26, 2024, Proceedings, Part II
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Isaac Sserwanga, Hideo Joho, Jie Ma, Preben Hansen, Dan Wu, Masanori Koizumi, Anne J. Gilliland, Isaac Sserwanga, Hideo Joho, Jie Ma, Preben Hansen, Dan Wu, Masanori Koizumi, and Anne J. Gilliland
- Subjects
- Application software, Image processing, User interfaces (Computer systems), Human-computer interaction, Artificial intelligence
- Abstract
The Three-volume set LNCS 14596, 14596 and 14598 constitutes the proceedings of the 19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024, which was hosted virtually by University of Tsukuba, Japan and in presence by Jilin University, Changchun, China, during April 15–26, 2024. The 36 full papers and 55 short papers are presented in these proceedings were carefully reviewed and selected from 218 submissions. The papers are organized in the following topical sections: Volume I: Archives and Information Sustainability; Behavioural Research; AI and Machine Learning; Information Science and Data Science; Information and Digital Literacy. Volume II: Digital Humanities; Intellectual Property Issues; Social Media and Digital Networks; Disinformation and Misinformation; Libraries, Bibliometrics and Metadata. Volume III: Knowledge Management; Information Science Education; Information Governance and Ethics; Health Informatics; Human-AI Collaboration; Information Retrieval; Community Informatics; Scholarly, Communication and Open Access.
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- 2024
7. Wisdom, Well-Being, Win-Win : 19th International Conference, IConference 2024, Changchun, China, April 15–26, 2024, Proceedings, Part I
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Isaac Sserwanga, Hideo Joho, Jie Ma, Preben Hansen, Dan Wu, Masanori Koizumi, Anne J. Gilliland, Isaac Sserwanga, Hideo Joho, Jie Ma, Preben Hansen, Dan Wu, Masanori Koizumi, and Anne J. Gilliland
- Subjects
- Application software, Image processing, User interfaces (Computer systems), Human-computer interaction, Artificial intelligence
- Abstract
The Three-volume set LNCS 14596, 14596 and 14598 constitutes the proceedings of the 19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024, which was hosted virtually by University of Tsukuba, Japan and in presence by Jilin University, Changchun, China, during April 15–26, 2024. The 36 full papers and 55 short papers are presented in these proceedings were carefully reviewed and selected from 218 submissions. The papers are organized in the following topical sections: Volume I: Archives and Information Sustainability; Behavioural Research; AI and Machine Learning; Information Science and Data Science; Information and Digital Literacy. Volume II: Digital Humanities; Intellectual Property Issues; Social Media and Digital Networks; Disinformation and Misinformation; Libraries, Bibliometrics and Metadata. Volume III: Knowledge Management; Information Science Education; Information Governance and Ethics; Health Informatics; Human-AI Collaboration; Information Retrieval; Community Informatics; Scholarly, Communication and Open Access.
- Published
- 2024
8. Wisdom, Well-Being, Win-Win : 19th International Conference, IConference 2024, Changchun, China, April 15–26, 2024, Proceedings, Part III
- Author
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Isaac Sserwanga, Hideo Joho, Jie Ma, Preben Hansen, Dan Wu, Masanori Koizumi, Anne J. Gilliland, Isaac Sserwanga, Hideo Joho, Jie Ma, Preben Hansen, Dan Wu, Masanori Koizumi, and Anne J. Gilliland
- Subjects
- Application software, Image processing, User interfaces (Computer systems), Human-computer interaction, Artificial intelligence
- Abstract
The Three-volume set LNCS 14596, 14597 and 14598 constitutes the proceedings of the 19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024, which was hosted virtually by University of Tsukuba, Japan and in presence by Jilin University, Changchun, China, during April 15–26, 2024. The 36 full papers and 55 short papers are presented in these proceedings were carefully reviewed and selected from 218 submissions. The papers are organized in the following topical sections: Volume I: Archives and Information Sustainability; Behavioural Research; AI and Machine Learning; Information Science and Data Science; Information and Digital Literacy. Volume II: Digital Humanities; Intellectual Property Issues; Social Media and Digital Networks; Disinformation and Misinformation; Libraries, Bibliometrics and Metadata. Volume III: Knowledge Management; Information Science Education; Information Governance and Ethics; Health Informatics; Human-AI Collaboration; Information Retrieval; Community Informatics; Scholarly, Communication and Open Access.
- Published
- 2024
9. Information for a Better World: Normality, Virtuality, Physicality, Inclusivity : 18th International Conference, IConference 2023, Virtual Event, March 13–17, 2023, Proceedings, Part I
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Isaac Sserwanga, Anne Goulding, Heather Moulaison-Sandy, Jia Tina Du, António Lucas Soares, Viviane Hessami, Rebecca D. Frank, Isaac Sserwanga, Anne Goulding, Heather Moulaison-Sandy, Jia Tina Du, António Lucas Soares, Viviane Hessami, and Rebecca D. Frank
- Subjects
- Application software, Computer networks, Image processing, User interfaces (Computer systems), Human-computer interaction, Artificial intelligence, Social sciences—Data processing
- Abstract
This two-volume set LNCS 13971 + 13972 constitutes the refereed proceedings of the 18th International Conference on Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, held in March 2023.The 36 full papers and the 46 short papers presented in these proceedings were carefully reviewed and selected from 197 submissions. They cover topics such as: Archives and Records, Behavioral Research, Information Governance and Ethics, AI and Machine Learning, Data Science, Information and Digital literacy, Cultural Perspectives, Knowledge Management and Intellectual Capital, Social Media and Digital Networks, Libraries, Human-Computer Interaction and Technology, Information Retrieval, Community Informatics, and Digital Information Infrastructure.
- Published
- 2023
10. Intelligent Life System Modelling, Image Processing and Analysis : 7th International Conference on Life System Modeling and Simulation, LSMS 2021 and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021, Hangzhou, China, October 30 – November 1, 2021, Proceedings, Part
- Author
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Minrui Fei, Luonan Chen, Shiwei Ma, Xin Li, Minrui Fei, Luonan Chen, Shiwei Ma, and Xin Li
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- Computer simulation, Machine learning, Image processing, Database management, Computer systems, Computer networks
- Abstract
This three-volume set CCIS 1467, CCIS 1468, and CCIS 1469 constitutes the thoroughly refereed proceedings of the 7th International Conference on Life System Modeling and Simulation, LSMS 2021, and of the 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021, held in Hangzhou, China, in October 2021. The 159 revised papers presented were carefully reviewed and selected from over 430 submissions.The papers of this volume are organized in topical sections on: Medical Imaging and Analysis Using Intelligence Computing; Biomedical signal processing, imaging, visualization and surgical robotics; Computational method in taxonomy study and neural dynamics; Intelligent medical apparatus, clinical applications and intelligent design of biochips; Power and Energy Systems; Computational Intelligence in Utilization of Clean and Renewable Energy Resources, and Intelligent Modelling, Control and Supervision for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Control Methods in Energy Infrastructure Development and Distributed Power Generation Systems; Intelligent Modeling, Simulation and Control of Power Electronics and Power Networks; Intelligent Techniques for Sustainable Energy and Green Built Environment, Water Treatment and Waste Management; Intelligent Robot and Simulation; Intelligent Data Processing, Analysis and Control in Complex Systems; Advanced Neural Network Theory and Algorithms; Advanced Computational Methods and Applications; Fuzzy, Neural, and Fuzzy-neuro Hybrids; Intelligent Modelling, Monitoring, and Control of Complex Nonlinear Systems; Intelligent manufacturing, autonomous systems, intelligent robotic systems; Computational Intelligence and Applications.
- Published
- 2021
11. Games and Learning Alliance : 9th International Conference, GALA 2020, Laval, France, December 9–10, 2020, Proceedings
- Author
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Iza Marfisi-Schottman, Francesco Bellotti, Ludovic Hamon, Roland Klemke, Iza Marfisi-Schottman, Francesco Bellotti, Ludovic Hamon, and Roland Klemke
- Subjects
- Microcomputers, Education—Data processing, Artificial intelligence, Computer vision, Image processing, Computer networks
- Abstract
This book constitutes the refereed proceedings of the 9th International Conference on Games and Learning Alliance, GALA 2020, held in Laval, France, in December 2020. The 35 full papers and 10 short papers were carefully reviewed and selected from 77 submissions. The papers cover a broad spectrum of topics: Serious Game Design; Serious Game Analytics; Virtual and Mixed Reality Applications; Gamification Theory; Gamification Applications; Serious Games for Instruction; and Serious Game Applications and Studies.
- Published
- 2020
12. Advances in Intelligent Information Hiding and Multimedia Signal Processing : Proceedings of the Thirteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, August, 12-15, 2017, Matsue, Shimane, Japan, Part II
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Jeng-Shyang Pan, Pei-Wei Tsai, Junzo Watada, Lakhmi C. Jain, Jeng-Shyang Pan, Pei-Wei Tsai, Junzo Watada, and Lakhmi C. Jain
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- Data encryption (Computer science)--Congresses, Digital watermarking--Congresses, Image processing, Artificial intelligence, Image processing--Congresses, Multimedia systems--Congresses, Computer networks--Security measures--Congresses, Signal processing--Congresses, Engineering
- Abstract
This volume includes papers presented at IIH-MSP 2017, the 13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, held from 12 to 15 August 2017 in Matsue, Shimane, Japan. The conference addresses topics ranging from information hiding and security, and multimedia signal processing and networking, to bio-inspired multimedia technologies and systems. This volume of Smart Innovation, Systems and Technologies focuses on subjects related to massive image/video compression and transmission for emerging networks, advances in speech and language processing, information hiding and signal processing for audio and speech signals, intelligent distribution systems and applications, recent advances in security and privacy for multimodal network environments, multimedia signal processing, and machine learning. Updated with the latest research outcomes and findings, the papers presented appeal to researchers and students who are interested in the corresponding fields.
- Published
- 2018
13. Image Processing & Communications Challenges 2
- Author
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Ryszard S. Choras and Ryszard S. Choras
- Subjects
- Human face recognition (Computer science), Computer networks, Image processing, Computer vision
- Abstract
Image Processing and Communications represents an exciting and dynamic part of the information area. This book consists of 52 scientific and technical papers from 14 Nations, after a careful selection performed by many international reviewers. The papers are conveniently grouped into 6 chapters: - Computer Vision and Image Processing - Biometric - Recognition and Classification - Biomedical Image Processing - Applications - Communications. Each chapter focuses on a specific topic, presents results, and points out challenges and future directions.
- Published
- 2010
14. Research in Computer Science : 6th Conference, CRI 2023, Yaounde, Cameroon, December 12–13, 2023, Proceedings
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Paulin Melatagia Yonta, Kamel Barkaoui, René Ndoundam, Omer-Blaise Yenke, Paulin Melatagia Yonta, Kamel Barkaoui, René Ndoundam, and Omer-Blaise Yenke
- Subjects
- Machine learning, Natural language processing (Computer science), Image processing, Software engineering, Computer networks—Security measures
- Abstract
This book constitutes the refereed proceedings of the 6th Conference on Research in Computer Science, CRI 2023, held in Yaounde, Cameroon, during December 12-13, 2023. The 16 full papers included in this book were carefully reviewed and selected from 72 submissions. The CRI 2023 proceedings focus on artificial intelligence, machine learning, natural language processing, computer vision, cryptography and distributed computing.
- Published
- 2024
15. MultiMedia Modeling : 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part I
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Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata, Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, and Yoko Yamakata
- Subjects
- Computer vision, Image processing, Pattern recognition systems, Application software, Information storage and retrieval systems, Machine learning
- Abstract
This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29 – February 2, 2024.The 112 full papers included in this volume were carefully reviewed and selected from 297 submissions. The MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.
- Published
- 2024
16. Multidimensional Signals, Augmented Reality and Information Technologies : Proceedings of 3DWCAI 2023
- Author
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Roumen Kountchev, Srikanta Patnaik, Wenfeng Wang, Roumiana Kountcheva, Roumen Kountchev, Srikanta Patnaik, Wenfeng Wang, and Roumiana Kountcheva
- Subjects
- Control engineering, Robotics, Automation, Artificial intelligence, Image processing
- Abstract
This book features a collection of high-quality, peer-reviewed research papers presented at Second'World Conference on Intelligent and 3-D Technologies'(WCI3DT 2023), held in China during May 26–28, 2023. The book provides an opportunity to researchers and academia as well as practitioners from industry to publish their ideas and recent research development work on all aspects of 3D imaging technologies and artificial intelligence, their applications and other related areas. The book presents ideas and the works of scientists, engineers, educators and students from all over the world from institutions and industries.
- Published
- 2024
17. MultiMedia Modeling : 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part II
- Author
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Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata, Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, and Yoko Yamakata
- Subjects
- Computer vision, Image processing, Pattern recognition systems, Application software, Information storage and retrieval systems, Machine learning
- Abstract
This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29–February 2, 2024.The 112 full papers included in this volume were carefully reviewed and selected from 297 submissions. The MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.
- Published
- 2024
18. MultiMedia Modeling : 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part IV
- Author
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Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata, Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, and Yoko Yamakata
- Subjects
- Computer vision, Image processing, Pattern recognition systems, Application software, Information storage and retrieval systems, Machine learning
- Abstract
This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29–February 2, 2024.The 112 full papers included in this volume were carefully reviewed and selected from 297 submissions. The MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.
- Published
- 2024
19. MultiMedia Modeling : 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part III
- Author
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Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata, Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, and Yoko Yamakata
- Subjects
- Computer vision, Image processing, Pattern recognition systems, Application software, Information storage and retrieval systems, Machine learning
- Abstract
This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29–February 2, 2024.The 112 full papers included in this volume were carefully reviewed and selected from 297 submissions. The MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.
- Published
- 2024
20. AI Methods and Applications in 3D Technologies : Proceedings of 3DWCAI 2023
- Author
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Roumen Kountchev (Deceased), Srikanta Patnaik, Wenfeng Wang, Roumiana Kountcheva, Roumen Kountchev (Deceased), Srikanta Patnaik, Wenfeng Wang, and Roumiana Kountcheva
- Subjects
- Control engineering, Robotics, Automation, Artificial intelligence, Image processing
- Abstract
This book features a collection of high-quality, peer-reviewed research papers presented at Second'World Conference on Intelligent and 3D Technologies'(WCI3DT 2023), held in China during 26–28 May 2023. The book provides an opportunity to researchers and academia as well as practitioners from industry to publish their ideas and recent research development work on all aspects of 3D imaging technologies and artificial intelligence, their applications, and other related areas. The book presents ideas and the works of scientists, engineers, educators, and students from all over the world from institutions and industries.
- Published
- 2024
21. Head and Neck Tumor Segmentation and Outcome Prediction : Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
- Author
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Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge, Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, and Adrien Depeursinge
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Machine learning, Bioinformatics
- Abstract
This book constitutes the Third 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2022, which was held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, on September 22, 2022.The 22 contributions presented, as well as an overview paper, were carefully reviewed and selected from 24 submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 883 delineated PET/CT images was made available for training.
- Published
- 2023
22. Proceedings of the World Conference on Intelligent and 3-D Technologies (WCI3DT 2022) : Methods, Algorithms and Applications
- Author
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Roumen Kountchev, Kazumi Nakamatsu, Wenfeng Wang, Roumiana Kountcheva, Roumen Kountchev, Kazumi Nakamatsu, Wenfeng Wang, and Roumiana Kountcheva
- Subjects
- Control engineering, Robotics, Automation, Artificial intelligence, Image processing
- Abstract
This book features a collection of high-quality, peer-reviewed research papers presented at first ‘World Conference on Intelligent and 3-D Technologies'(WCI3DT 2022), held in China during May 24–26, 2022. The book provides an opportunity for the researchers and academia as well as practitioners from industry to publish their ideas and recent research development work on all aspects of 3D imaging technologies and artificial intelligence, their applications, and other related areas. The book presents ideas and the works of scientists, engineers, educators, and students from all over the world from institutions and industries.
- Published
- 2023
23. Progress in Artificial Intelligence and Pattern Recognition : 8th International Congress on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, Varadero, Cuba, September 27–29, 2023, Proceedings
- Author
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Yanio Hernández Heredia, Vladimir Milián Núñez, José Ruiz Shulcloper, Yanio Hernández Heredia, Vladimir Milián Núñez, and José Ruiz Shulcloper
- Subjects
- Computer vision, Image processing, Artificial intelligence
- Abstract
This book constitutes the refereed proceedings of the 8th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, held in Varadero, Cuba, in October 2023. The 68 papers presented in the proceedings set were carefully reviewed and selected from 38 submissions. The IWAIPR conference aims to provide a leading international forum to promote and disseminate ongoing research into mathematical methods of computing techniques for Artifical Intelligence and Pattern Recognition.
- Published
- 2023
24. Proceedings of International Conference on Image, Vision and Intelligent Systems 2022 (ICIVIS 2022)
- Author
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Peng You, Heng Li, Zhenxiang Chen, Peng You, Heng Li, and Zhenxiang Chen
- Subjects
- Signal processing, Image processing, Machine learning
- Abstract
This book is a collection of the papers accepted by the ICIVIS 2022—The International Conference on Image, Vision and Intelligent Systems, held on August 15–17, 2022, in Jinan, China. The topics focus but are not limited to image, vision and intelligent systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state of practice in the topics covered by this conference proceedings.
- Published
- 2023
25. The International Conference on Image, Vision and Intelligent Systems (ICIVIS 2021)
- Author
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Jian Yao, Yang Xiao, Peng You, Guang Sun, Jian Yao, Yang Xiao, Peng You, and Guang Sun
- Subjects
- Signal processing, Image processing, Machine learning
- Abstract
This book is a collection of the papers accepted by the ICIVIS 2021—The International Conference on Image, Vision and Intelligent Systems held on June 15–17, 2021, in Changsha, China. The topics focus but are not limited to image, vision and intelligent systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings.
- Published
- 2022
26. Computational Vision and Bio-Inspired Computing : Proceedings of ICCVBIC 2021
- Author
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S. Smys, João Manuel R. S. Tavares, Valentina Emilia Balas, S. Smys, João Manuel R. S. Tavares, and Valentina Emilia Balas
- Subjects
- Computational intelligence, Bioinformatics, Image processing—Digital techniques, Computer vision, Image processing
- Abstract
This book includes selected papers from the 5th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2021), held in Coimbatore, India, during November 25–26, 2021. This book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. It also contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.
- Published
- 2022
27. Intelligent Systems : 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20–23, 2020, Proceedings, Part I
- Author
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Ricardo Cerri, Ronaldo C. Prati, Ricardo Cerri, and Ronaldo C. Prati
- Subjects
- Artificial intelligence, Social sciences—Data processing, Education—Data processing, Data mining, Image processing, Computer vision
- Abstract
The two-volume set LNAI 12319 and 12320 constitutes the proceedings of the 9th Brazilian Conference on Intelligent Systems, BRACIS 2020, held in Rio Grande, Brazil, in October 2020. The total of 90 papers presented in these two volumes was carefully reviewed and selected from 228 submissions. The contributions are organized in the following topical section: Part I: Evolutionary computation, metaheuristics, constrains and search, combinatorial and numerical optimization; neural networks, deep learning and computer vision; and text mining and natural language processing. Part II: Agent and multi-agent systems, planning and reinforcement learning; knowledge representation, logic and fuzzy systems; machine learning and data mining; and multidisciplinary artificial and computational intelligence and applications.Due to the Corona pandemic BRACIS 2020 was held as a virtual event.
- Published
- 2020
28. Analysis and Interpretation of Range Images
- Author
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Ramesh C. Jain, Anil K. Jain, Ramesh C. Jain, and Anil K. Jain
- Subjects
- Optical range finders, Image processing, Three-dimensional display systems
- Abstract
Computer vision researchers have been frustrated in their attempts to automatically derive depth information from conventional two-dimensional intensity images. Research on'shape from texture','shape from shading', and'shape from focus'is still in a laboratory stage and had not seen much use in commercial machine vision systems. A range image or a depth map contains explicit information about the distance from the sensor to the object surfaces within the field of view in the scene. Information about'surface geometry'which is important for, say, three-dimensional object recognition is more easily extracted from'2 1/2 D'range images than from'2D'intensity images. As a result, both active sensors such as laser range finders and passive techniques such as multi-camera stereo vision are being increasingly utilized by vision researchers to solve a variety of problems. This book contains chapters written by distinguished computer vision researchers covering the following areas: Overview of 3D Vision Range Sensing Geometric Processing Object Recognition Navigation Inspection Multisensor Fusion A workshop report, written by the editors, also appears in the book. It summarizes the state of the art and proposes future research directions in range image sensing, processing, interpretation, and applications. The book also contains an extensive, up-to-date bibliography on the above topics. This book provides a unique perspective on the problem of three-dimensional sensing and processing; it is the only comprehensive collection of papers devoted to range images. Both academic researchers interested in research issues in 3D vision and industrial engineers in search of solutions to particular problems will find this a useful reference book.
- Published
- 2012
29. Reading and Learning : Adaptive Content Recognition
- Author
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Andreas Dengel, Markus Junker, Anette Weisbecker, Andreas Dengel, Markus Junker, and Anette Weisbecker
- Subjects
- Electronic data processing, Information storage and retrieval systems, Information technology, Information retrieval, Information resources management, Image processing, Optical data processing
- Abstract
The amounts of information that are?ooding people both at the workplace and in private life have increased dramatically in the past ten years. The number of paper documents doubles every four years, and the amount of information stored on all data carriers every six years. New knowledge, however, increases at a considerably lower rate. Possibilities for automatic content recognition in various media and for the processing of documents are therefore becoming more important every day. Especially in economic terms, the e?cient handling of information, i.e.,?- ing the right information at the right time, is an invaluable resource for any enterprise, but it is particularly important for small- and medium-sized ent- prises. The market for document management systems, which in Europe had a volume of approximately 5 billion euros in 2000, will increase considerably over the next few years. The BMBF recognized this development at an early stage. As early as in 1995, it pooled national capabilities in this?eld in order to support research on the automatic processing of information within the framework of a large collaborative project (READ) involving both industrial companies and research centres. Evaluation of the results led to the conclusion that research work had been successful, and, in a second phase, funding was provided for the colla- rative follow-up project Adaptive READ from 1999 to 2003. The completion of thesetwoimportantlong-termresearchprojectshascontributedsubstantiallyto improving the possibilities of content recognition and processing of handwritten, printed and electronic documents.
- Published
- 2004
30. Transforming Technologies in Smart Agriculture : New Applications During the Past Decade
- Author
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Zhao Zhang, Yongxin Jiang, Chunhui Wen, Shuyuan Men, Yuan Zhang, Zhao Zhang, Yongxin Jiang, Chunhui Wen, Shuyuan Men, and Yuan Zhang
- Subjects
- Control engineering, Robotics, Automation, Agriculture, Image processing, Machine learning
- Abstract
This book collects transforming technologies in smart agriculture and their applications during the past decade. It focuses on the latest sensing and automation technologies for field and specialty crop production, and provides a lot of innovative knowledge on imaging processing, AI algorithms, robotics, and their applications in agriculture. It provides undergraduate or graduate students take-away knowledge for unmanned agriculture production, including but not limited to, corn/wheat disease detection, cotton yield prediction, and apple detection. Furthermore, this book includes review reports on plant phenotyping sensing and automation technologies and techniques for aphid detection.
- Published
- 2024
31. Advanced Spiking Neural P Systems : Models and Applications
- Author
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Hong Peng, Jun Wang, Hong Peng, and Jun Wang
- Subjects
- Artificial intelligence, Computer science, Image processing, Natural language processing (Computer science), Machine learning
- Abstract
Membrane computing is a class of distributed and parallel computing models inspired by living cells. Spiking neural P systems are neural-like membrane computing models, representing an interdisciplinary field between membrane computing and artificial neural networks, and are considered one of the third-generation neural networks. Models and applications constitute two major research topics in spiking neural P systems. The entire book comprises two parts: models and applications. In the model part, several variants of spiking neural P systems and fuzzy spiking neural P systems are introduced. Subsequently, their computational completeness is discussed, encompassing digital generation/accepting devices, function computing devices, and language generation devices. This discussion is advantageous for researchers in the fields of membrane computing, biologically inspired computing, and theoretical computer science, aiding in understanding the distributed computing model of spiking neural P systems. In the application part, the application of spiking neural P systems in time series prediction, image processing, sentiment analysis, and fault diagnosis is examined. This offers a novel method and model for researchers in artificial intelligence, data mining, image processing, natural language processing, and power systems. Simultaneously, it furnishes engineering and technical personnel in these fields with a powerful, efficient, reliable, and user-friendly set of tools and methods.
- Published
- 2024
32. Artificial Intelligent Algorithms for Image Dehazing and Non-Uniform Illumination Enhancement
- Author
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Teena Sharma, Nishchal K. Verma, Teena Sharma, and Nishchal K. Verma
- Subjects
- Computational intelligence, Image processing, Artificial intelligence
- Abstract
This book offers a detailed insight of artificial intelligence (AI) algorithms for image dehazing and non-uniform illumination enhancement. In this book, various image enhancement techniques under hazy and non-uniform illumination conditions are discussed. The book specifically provides a detail on how to approach image enhancement under different outdoor conditions using AI tools. The biggest benefit a reader would accrue is to get exposed to the various aspects one should take care of while working with digital images. The book also includes multiple inventions which were recently introduced by the authors for image enhancement and reviews the state of the art in respective subject matters.
- Published
- 2024
33. Evolutionary Artificial Intelligence : Proceedings of ICEAI 2023
- Author
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David Asirvatham, Francisco M. Gonzalez-Longatt, Przemyslaw Falkowski-Gilski, R. Kanthavel, David Asirvatham, Francisco M. Gonzalez-Longatt, Przemyslaw Falkowski-Gilski, and R. Kanthavel
- Subjects
- Computational intelligence, Artificial intelligence, Image processing, Algorithms
- Abstract
This book gathers a collection of selected works and new research results of scholars and graduate students presented at International Conference on Evolutionary Artificial Intelligence (ICEAI 2023) held in Malaysia during 13-14 September 2023. The focus of the book is interdisciplinary in nature and includes research on all aspects of evolutionary computation to find effective solutions to a wide range of computationally difficult problems. The book covers topics such as particle swarm optimization, evolutionary programming, genetic programming, hybrid evolutionary algorithms, ant colony optimization, evolutionary neural networks, evolutionary reinforcement learning, genetic algorithms, memetic algorithms, novel bio-inspired algorithms, evolving multi-agent systems, agent-based evolutionary approaches, and evolutionary game theory.
- Published
- 2024
34. Image Processing and Machine Learning, Volume 2 : Advanced Topics in Image Analysis and Machine Learning
- Author
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Erik Cuevas, Alma Nayeli Rodríguez, Erik Cuevas, and Alma Nayeli Rodríguez
- Subjects
- Image processing, Machine learning
- Abstract
Image processing and machine learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, machine learning algorithms are used to interpret the processed data through classification, clustering, and object detection. This book serves as a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of some of the most prevalent image processing methods and approaches.Divided into two volumes, this second installment explores the more advanced concepts and techniques in image processing, including morphological filters, color image processing, image matching, feature-based segmentation utilizing the mean shift algorithm, and the application of singular value decomposition for image compression. This second volume also incorporates several important machine learning techniques applied to image processing, building on the foundational knowledge introduced in Volume 1.Written with instructors and students of image processing in mind, this book's intuitive organization also contains appeal for app developers and engineers.
- Published
- 2024
35. Binary Representation Learning on Visual Images : Learning to Hash for Similarity Search
- Author
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Zheng Zhang and Zheng Zhang
- Subjects
- Information storage and retrieval systems, Image processing, Artificial intelligence—Data processing
- Abstract
This book introduces pioneering developments in binary representation learning on visual images, a state-of-the-art data transformation methodology within the fields of machine learning and multimedia. Binary representation learning, often known as learning to hash or hashing, excels in converting high-dimensional data into compact binary codes meanwhile preserving the semantic attributes and maintaining the similarity measurements. The book provides a comprehensive introduction to the latest research in hashing-based visual image retrieval, with a focus on binary representations. These representations are crucial in enabling fast and reliable feature extraction and similarity assessments on large-scale data. This book offers an insightful analysis of various research methodologies in binary representation learning for visual images, ranging from basis shallow hashing, advanced high-order similarity-preserving hashing, deep hashing, as well as adversarial and robust deep hashing techniques. These approaches can empower readers to proficiently grasp the fundamental principles of the traditional and state-of-the-art methods in binary representations, modeling, and learning. The theories and methodologies of binary representation learning expounded in this book will be beneficial to readers from diverse domains such as machine learning, multimedia, social network analysis, web search, information retrieval, data mining, and others.
- Published
- 2024
36. Decoding Cultural Heritage : A Critical Dissection and Taxonomy of Human Creativity Through Digital Tools
- Author
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Fernando Moral-Andrés, Elena Merino-Gómez, Pedro Reviriego, Fernando Moral-Andrés, Elena Merino-Gómez, and Pedro Reviriego
- Subjects
- Image processing, Artificial intelligence, Cultural property
- Abstract
This book provides readers with an overview of the use of digital techniques for cultural heritage preservation. Those include image processing, advanced sensing, geomatics or virtual and augmented reality. The use of newer tools such as generative artificial intelligence for images and 3D or advanced natural language processing systems is also considered. The ultimate goal is to provide readers with a global perspective of the state of the art on the use of digital tools for cultural heritage applications, both for researchers and professionals involved in cultural heritage and for computer scientists and engineers that design and develop technologies that can be used for cultural heritage preservation.
- Published
- 2024
37. Video Object Tracking : Tasks, Datasets, and Methods
- Author
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Ning Xu, Weiyao Lin, Xiankai Lu, Yunchao Wei, Ning Xu, Weiyao Lin, Xiankai Lu, and Yunchao Wei
- Subjects
- Image processing, Image processing--Digital techniques, Computer vision, Automatic tracking, Digital video, Pattern recognition systems, Machine learning
- Abstract
This book provides a thorough overview of recent progress in video object tracking, allowing researchers and industrial practitioners to gain a better understanding of the most important problems and developed technologies in the area. Video tracking is a key research area in computer vision and aims to track unique objects in a given video, which are useful for various applications such as video conference, video editing, surveillance, and autonomous driving. This book begins with an introduction to the task of video object tracking, including the most common problem settings. Given the revolution of deep learning in computer vision problems, numerous new tasks, datasets, and methods have been recently proposed in the domain of video tracking. The book includes these recent results as well as benchmarks in large-scale human-centric video analysis in complex events.
- Published
- 2024
38. Fine-Grained Image Analysis: Modern Approaches
- Author
-
Xiu-Shen Wei and Xiu-Shen Wei
- Subjects
- Computer vision, Image processing—Digital techniques, Image processing, Pattern recognition systems, Machine learning, Artificial intelligence
- Abstract
This book provides a comprehensive overview of the fine-grained image analysis research and modern approaches based on deep learning, spanning the full range of topics needed for designing operational fine-grained image systems. The author begins by providing detailed background information on FGIA, focusing on recognition and retrieval. The author also provides the fundamentals of convolutional neural networks to further make it easier for readers to understand the technical content in the book. The book introduces the main technical paradigms, technological developments, and representative approaches of fine-grained image recognition and fine-grained image retrieval. The author covers multiple popular research topics and includes cross-domain knowledge. The book also highlights advanced applications and topics for future research.
- Published
- 2023
39. GANs for Data Augmentation in Healthcare
- Author
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Arun Solanki, Mohd Naved, Arun Solanki, and Mohd Naved
- Subjects
- Medical informatics, Image processing, Machine learning
- Abstract
Computer-Assisted Diagnostics (CAD) using Convolutional Neural Network (CNN) model has become an important technology in the medical industry, improving the accuracy of diagnostics. However, the lack Magnetic Resonance Imaging (MRI) data leads to the failure of the depth study algorithm. Medical records are often different because of the cost of obtaining information and the time spent consuming the information. In general, clinical data is unreliable and therefore the training of neural network methods to distribute disease across classes does not yield the desired results. Data augmentation is often done by training data to solve problems caused by augmentation tasks such as scaling, cropping, flipping, padding, rotation, translation, affine transformation, and color augmentation techniques such as brightness, contrast, saturation, and hue. Data Augmentation and Segmentation imaging using GAN can be used to provide clear images of brain, liver, chest, abdomen, and liver on an MRI. In addition, GAN shows strong promise in the field of clinical image synthesis. In many cases, clinical evaluation is limited by a lack of data and/or the cost of actual information. GAN can overcome these problems by enabling scientists and clinicians to work on beautiful and realistic images. This can improve diagnosis, prognosis, and disease. Finally, GAN highlights the potential for location of patient information within the data. This is a beneficial clinical application of GAN because it can effectivelyprotect patient confidentiality. This book covers the application of GANs on medical imaging augmentation and segmentation.
- Published
- 2023
40. Convolutional Neural Networks for Medical Applications
- Author
-
Teik Toe Teoh and Teik Toe Teoh
- Subjects
- Computer vision, Medical sciences, Artificial intelligence, Machine learning, Image processing, Artificial intelligence—Data processing
- Abstract
Convolutional Neural Networks for Medical Applications consists of research investigated by the author, containing state-of-the-art knowledge, authored by Dr Teoh Teik Toe, in applying Convolutional Neural Networks (CNNs) to the medical imagery domain. This book will expose researchers to various applications and techniques applied with deep learning on medical images, as well as unique techniques to enhance the performance of these networks.Through the various chapters and topics covered, this book provides knowledge about the fundamentals of deep learning to a common reader while allowing a research scholar to identify some futuristic problem areas. The topics covered include brain tumor classification, pneumonia image classification, white blood cell classification, skin cancer classification and diabetic retinopathy detection. The first chapter will begin by introducing various topics used in training CNNs to help readers with common concepts covered across the book. Each chapter begins by providing information about the disease, its implications to the affected and how the use of CNNs can help to tackle issues faced in healthcare. Readers would be exposed to various performance enhancement techniques, which have been tried and tested successfully, such as specific data augmentations and image processing techniques utilized to improve the accuracy of the models.
- Published
- 2023
41. Deep Learning for Agricultural Visual Perception : Crop Pest and Disease Detection
- Author
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Rujing Wang, Lin Jiao, Kang Liu, Rujing Wang, Lin Jiao, and Kang Liu
- Subjects
- Artificial intelligence, Image processing—Digital techniques, Computer vision, Machine learning, Image processing, Agriculture
- Abstract
This monograph provides a detailed and systematic introduction to the application of deep learning technology in the intelligent monitoring of crop diseases and pests. Taking 24 types of crop pests, wheat aphids, and wheat diseases with complex backgrounds as examples, a large-scale crop pest and disease dataset was constructed to provide necessary data support for the deep learning module. Various schemes for identifying and detecting large-scale crop diseases and pests based on deep convolutional neural network technology have also been proposed. This book can be used as a reference for teachers and students majoring in agriculture, computer science, artificial intelligence, intelligent science and technology, and other related fields in higher education institutions. It can also be used as a reference book for researchers in fields such as image processing technology, intelligent manufacturing, and high-tech applications.
- Published
- 2023
42. Object Tracking Technology : Trends, Challenges and Applications
- Author
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Ashish Kumar, Rachna Jain, Ajantha Devi Vairamani, Anand Nayyar, Ashish Kumar, Rachna Jain, Ajantha Devi Vairamani, and Anand Nayyar
- Subjects
- Image processing, Image processing—Digital techniques, Computer vision, Machine learning
- Abstract
With the increase in urban population, it became necessary to keep track of the object of interest. In favor of SDGs for sustainable smart city, with the advancement in technology visual tracking extends to track multi-target present in the scene rather estimating location for single target only. In contrast to single object tracking, multi-target introduces one extra step of detection. Tracking multi-target includes detecting and categorizing the target into multiple classes in the first frame and provides each individual target an ID to keep its track in the subsequent frames of a video stream. One category of multi-target algorithms exploits global information to track the target of the detected target. On the other hand, some algorithms consider present and past information of the target to provide efficient tracking solutions. Apart from these, deep leaning-based algorithms provide reliable and accurate solutions. But, these algorithms are computationally slow when applied in real-time. This book presents and summarizes the various visual tracking algorithms and challenges in the domain. The various feature that can be extracted from the target and target saliency prediction is also covered. It explores a comprehensive analysis of the evolution from traditional methods to deep learning methods, from single object tracking to multi-target tracking. In addition, the application of visual tracking and the future of visual tracking can also be introduced to provide the future aspects in the domain to the reader. This book also discusses the advancement in the area with critical performance analysis of each proposed algorithm. This book will be formulated with intent to uncover the challenges and possibilities of efficient and effective tracking of single or multi-object, addressing the various environmental and hardware challenges. The intended audience includes academicians, engineers, postgraduate students, developers, professionals, military personals, scientists, data analysts, practitioners, and people who are interested in exploring more about tracking.· Another projected audience are the researchers and academicians who identify and develop methodologies, frameworks, tools, and applications through reference citations, literature reviews, quantitative/qualitative results, and discussions.
- Published
- 2023
43. Data Analysis for Neurodegenerative Disorders
- Author
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Deepika Koundal, Deepak Kumar Jain, Yanhui Guo, Amira S. Ashour, Atef Zaguia, Deepika Koundal, Deepak Kumar Jain, Yanhui Guo, Amira S. Ashour, and Atef Zaguia
- Subjects
- Medical informatics, Image processing—Digital techniques, Computer vision, Image processing, Machine learning, Artificial intelligence—Data processing
- Abstract
This book explores the challenges involved in handling medical big data in the diagnosis of neurological disorders. It discusses how to optimally reduce the number of neuropsychological tests during the classification of these disorders by using feature selection methods based on the diagnostic information of enrolled subjects. The book includes key definitions/models and covers their applications in different types of signal/image processing for neurological disorder data. An extensive discussion on the possibility of enhancing the abilities of AI systems using the different data analysis is included. The book recollects several applicable basic preliminaries of the different AI networks and models, while also highlighting basic processes in image processing for various neurological disorders. It also reports on several applications to image processing and explores numerous topics concerning the role of big data analysis in addressing signal and image processing in various real-world scenarios involving neurological disorders.This cutting-edge book highlights the analysis of medical data, together with novel procedures and challenges for handling neurological signals and images. It will help engineers, researchers and software developers to understand the concepts and different models of AI and data analysis. To help readers gain a comprehensive grasp of the subject, it focuses on three key features:● Presents outstanding concepts and models for using AI in clinical applications involving neurological disorders, with clear descriptions of image representation, feature extraction and selection.● Highlights a range of techniques for evaluating the performance of proposed CAD systems for the diagnosis of neurological disorders.● Examines various signal and image processing methods for efficient decision support systems. Soft computing, machine learning and optimization algorithms are also included to improve the CAD systems used.
- Published
- 2023
44. A Unifying Framework for Formal Theories of Novelty : Discussions, Guidelines, and Examples for Artificial Intelligence
- Author
-
Terrance Boult, Walter Scheirer, Terrance Boult, and Walter Scheirer
- Subjects
- Computer vision, Machine learning, Image processing—Digital techniques, Pattern recognition systems, Image processing, Artificial intelligence
- Abstract
This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems. Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general intelligent systems. The book presents examples of using this framework to define and evaluate in multiple domains including image recognition image-based open world learning, hand-writing and author analysis, CartPole Control, Image Captioning, and Monopoly. Chapters are written by well-known contributors to this new and emerging field. In addition, examples are provided from multiple areas, such as machine-learning based control problems, symbolic reasoning, and multi-player games.
- Published
- 2023
45. Document Layout Analysis
- Author
-
Showmik Bhowmik and Showmik Bhowmik
- Subjects
- Image processing, Pattern recognition systems, Machine learning
- Abstract
Document layout analysis (DLA) is a crucial step towards the development of an effective document image processing system. In the early days of document image processing, DLA was not considered as a complete and complex research problem, rather just a pre-processing step having some minor challenges. The main reason for that is the type of layout being considered for processing was simple. Researchers started paying attention to this complex problem as they come across a large variety of documents. This book presents a clear view of the past, present, and future of DLA, and it also discusses two recent methods developed to address the said problem.
- Published
- 2023
46. Digital Watermarking for Machine Learning Model : Techniques, Protocols and Applications
- Author
-
Lixin Fan, Chee Seng Chan, Qiang Yang, Lixin Fan, Chee Seng Chan, and Qiang Yang
- Subjects
- Machine learning, Data protection, Image processing—Digital techniques, Computer vision, Image processing
- Abstract
Machine learning (ML) models, especially large pretrained deep learning (DL) models, are of high economic value and must be properly protected with regard to intellectual property rights (IPR). Model watermarking methods are proposed to embed watermarks into the target model, so that, in the event it is stolen, the model's owner can extract the pre-defined watermarks to assert ownership. Model watermarking methods adopt frequently used techniques like backdoor training, multi-task learning, decision boundary analysis etc. to generate secret conditions that constitute model watermarks or fingerprints only known to model owners. These methods have little or no effect on model performance, which makes them applicable to a wide variety of contexts. In terms of robustness, embedded watermarks must be robustly detectable against varying adversarial attacks that attempt to remove the watermarks. The efficacy of model watermarking methods is showcased in diverse applications including image classification, image generation, image captions, natural language processing and reinforcement learning. This book covers the motivations, fundamentals, techniques and protocols for protecting ML models using watermarking. Furthermore, it showcases cutting-edge work in e.g. model watermarking, signature and passport embedding and their use cases in distributed federated learning settings.
- Published
- 2023
47. Computer Vision : Applications of Visual AI and Image Processing
- Author
-
Pancham Shukla, Rajanikanth Aluvalu, Shilpa Gite, Uma Maheswari, Pancham Shukla, Rajanikanth Aluvalu, Shilpa Gite, and Uma Maheswari
- Subjects
- Artificial intelligence, Computer vision, Image processing
- Abstract
This book focuses on the latest developments in the fields of visual AI, image processing and computer vision. It shows research in basic techniques like image pre-processing, feature extraction, and enhancement, along with applications in biometrics, healthcare, neuroscience and forensics. The book highlights algorithms, processes, novel architectures and results underlying machine intelligence with detailed execution flow of models.
- Published
- 2023
48. Intelligent Healthcare : Infrastructure, Algorithms and Management
- Author
-
Chinmay Chakraborty, Mohammad R. Khosravi, Chinmay Chakraborty, and Mohammad R. Khosravi
- Subjects
- Medical informatics, Computational intelligence, Internet of things, Biomedical engineering, Image processing, Computers and civilization
- Abstract
The book Intelligent Healthcare: Infrastructure, Algorithms, and Management® cover a wide range of research topics on innovative intelligent healthcare solutions and advancements with the latest research developments. Data analytics are relevant for healthcare to meet many technical challenges and issues that need to be addressed to realize this potential. The advanced healthcare systems have to be upgraded with new capabilities such as data analytics, machine learning, intelligent decision making, and more professional services. The Internet of Things helps to design and develop intelligent healthcare solutions assisted by security, data analytics, and machine learning.This book will provide federated learning, Data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart healthcare. This book aims to attract works on multidisciplinary research spanning across computer science and engineering, environmental studies, services, urban planning and development, Healthcare, social sciences, and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative learning and computing solutions and big medical data-powered applications to cope with the real-world challenges for building smart healthcare sectors.Main Features:Ø Immersive technologies in healthcareØ Internet of medical thingsØ Federated learning algorithmsØ Explainable AI in Pervasive HealthcareØ New management principles using biomedical dataØ Secured healthcare management systemsThis book aims to set up a better understanding of data scientists, researchers, and technologists under innovative digital health. The reader can find out existing research challenges, current market trends, and low-cost technologies to smoothly address the digital health issue.
- Published
- 2022
49. Multimedia Forensics
- Author
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Husrev Taha Sencar, Luisa Verdoliva, Nasir Memon, Husrev Taha Sencar, Luisa Verdoliva, and Nasir Memon
- Subjects
- Multimedia systems, Digital forensic science, Image processing
- Abstract
This book is open access. Media forensics has never been more relevant to societal life. Not only media content represents an ever-increasing share of the data traveling on the net and the preferred communications means for most users, it has also become integral part of most innovative applications in the digital information ecosystem that serves various sectors of society, from the entertainment, to journalism, to politics. Undoubtedly, the advances in deep learning and computational imaging contributed significantly to this outcome. The underlying technologies that drive this trend, however, also pose a profound challenge in establishing trust in what we see, hear, and read, and make media content the preferred target of malicious attacks. In this new threat landscape powered by innovative imaging technologies and sophisticated tools, based on autoencoders and generative adversarial networks, this book fills an important gap. It presents a comprehensive review of state-of-the-art forensics capabilities that relate to media attribution, integrity and authenticity verification, and counter forensics. Its content is developed to provide practitioners, researchers, photo and video enthusiasts, and students a holistic view of the field.
- Published
- 2022
50. Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning
- Author
-
Maki K. Habib and Maki K. Habib
- Subjects
- Affect (Psychology)--Data processing, Artificial life, Automatic machinery, Artificial intelligence--Industrial applications, Machine learning, Image processing
- Abstract
As technology spreads globally, researchers and scientists continue to develop and study the strategy behind creating artificial life. This research field is ever expanding, and it is essential to stay current in the contemporary trends in artificial life, artificial intelligence, and machine learning. This an important topic for researchers and scientists in the field as well as industry leaders who may adapt this technology. The Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning provides concepts, theories, systems, technologies, and procedures that exhibit properties, phenomena, or abilities of any living system or human. This major reference work includes the most up-to-date research on techniques and technologies supporting AI and machine learning. Covering topics such as behavior classification, quality control, and smart medical devices, it serves as an essential resource for graduate students, academicians, stakeholders, practitioners, and researchers and scientists studying artificial life, cognition, AI, biological inspiration, machine learning, and more.
- Published
- 2022
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