6 results on '"Sonia Lajmi"'
Search Results
2. Large-Scale Semantic Concept Detection Based On Visual Contents
- Author
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Mohamed Hamroun, Sonia Lajmi, Henri Nicolas, Ikram Amous, Nicolas, Henri, Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Multimedia, InfoRmation systems and Advanced Computing Laboratory (MIRACL), Faculté des Sciences Economiques et de Gestion de Sfax (FSEG Sfax), and Université de Sfax - University of Sfax-Université de Sfax - University of Sfax
- Subjects
Information retrieval ,Process (engineering) ,Computer science ,Association (object-oriented programming) ,Search engine indexing ,Visual dictionary ,Context (language use) ,02 engineering and technology ,TRECVID ,Task (project management) ,[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV] ,020204 information systems ,[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] ,Genetic algorithm ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,ComputingMilieux_MISCELLANEOUS - Abstract
Indexing video by the concept is one of the most appropriate solutions for such problem. It's based on an association between a concept and its corresponding visual, sound or textual features. This kind of association is not a trivial task. It requires knowledge about the concept and its context. In this paper, we investigate a new concept detection approach to improve the performance of content-based multimedia documents retrieval systems. To achieve this goal, we tackle the problem from different plans and make four contributions at various stages of the indexing process. We first propose a new weakly supervised semi-automatic method based on the genetic algorithm to extract and annotate the video plans for training set. Subsequently, we develop a method to detect the basic concepts. We also deal with the issue of noise reduction when generating visual dictionary (BoVS). The different contributions are tested and evaluated on a big dataset (TRECVID 2015).
- Published
- 2019
3. An Interactive Video Browsing With VINAS System
- Author
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Mohamed Hamroun, Ikram Amous, Sonia Lajmi, Henri Nicolas, Université de Bordeaux (UB), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Multimedia, InfoRmation systems and Advanced Computing Laboratory (MIRACL), Faculté des Sciences Economiques et de Gestion de Sfax (FSEG Sfax), Université de Sfax - University of Sfax-Université de Sfax - University of Sfax, and Nicolas, Henri
- Subjects
Multimedia ,Interactive video ,business.industry ,Computer science ,020207 software engineering ,Context (language use) ,02 engineering and technology ,computer.software_genre ,Semantics ,Visualization ,Set (abstract data type) ,Data visualization ,[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV] ,[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Video browsing ,Tag cloud ,business ,computer ,ComputingMilieux_MISCELLANEOUS - Abstract
Following the technological advances carried out recently, there was an explosion in the number of available videos and their accessibility. This was largely justified by the fall of the acquisition prices of the memory supports and the increase their capacity, which facilitated the storage of a large number of video document databases in the computer systems. To make the exploitation of these collections effective, it is necessary to install tools that facilitate access and handle them. In this paper, we propose a new approach for semantic browsing in a large video collection. Our approach is based, essentially, on a structuring of the video concepts. Indeed, a weight is calculated to measure the membership degree of a concept at different levels (context / concept / video). We developed the Video Navigation System (VINAS) to test our approach. A visual metaphor inspired by tag cloud concept is also set up in our VINAS system to help with the comprehensive semantic video browsing. A user study made on our VINAS system showed that the proposed approach can help the user with the semantic browsing in video collection.
- Published
- 2018
4. ISE: Interactive Image Search Using Visual Content
- Author
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Henri Nicolas, Mohamed Hamroun, Sonia Lajmi, Ikram Amous, Université de Bordeaux (UB), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Multimedia, InfoRmation systems and Advanced Computing Laboratory (MIRACL), Faculté des Sciences Economiques et de Gestion de Sfax (FSEG Sfax), Université de Sfax - University of Sfax-Université de Sfax - University of Sfax, and Nicolas, Henri
- Subjects
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV] ,Computer science ,020204 information systems ,Computer graphics (images) ,[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] ,Content (measure theory) ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,02 engineering and technology ,ComputingMilieux_MISCELLANEOUS ,Image (mathematics) - Abstract
International audience
- Published
- 2018
5. Descriptor optimization for Semantic Concept Detection Using Visual Content
- Author
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Mohamed Hamroun, Ikram Amous, Sonia Lajmi, Henri Nicolas, Université de Bordeaux (UB), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Université de Sfax - University of Sfax, and Nicolas, Henri
- Subjects
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV] ,business.industry ,Computer science ,[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] ,Content (measure theory) ,0202 electrical engineering, electronic engineering, information engineering ,020207 software engineering ,020201 artificial intelligence & image processing ,Pattern recognition ,02 engineering and technology ,Artificial intelligence ,business ,ComputingMilieux_MISCELLANEOUS - Abstract
Concept detection has been considered a difficult problem and has attracted the interest of the content-based multimedia retrieval community. This detection implies an association between the concept and the visual content. In other words, the visual characteristics extracted from the video. This includes taking knowledge about the concept itself and its context. This work focuses on the problem of concept detection. For that, several stages are elaborated: first, a method of extraction and semi-automatic annotation of the video plans for the training set is proposed. This new method is based on the genetic algorithm. Then, a preliminary concept detection is carried out to generate the visual dictionary (BoVS). This second step is improved thanks to a noise reduction mechanism. This article's contribution has proven its effectiveness by testing it on a large dataset.
6. VISEN: A Video Interactive Retrieval Engine Based on Semantic Network in large video collections
- Author
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Mohamed Hamroun, Sonia Lajmi, Henri Nicolas, Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Multimedia, InfoRmation systems and Advanced Computing Laboratory (MIRACL), Faculté des Sciences Economiques et de Gestion de Sfax (FSEG Sfax), Université de Sfax - University of Sfax-Université de Sfax - University of Sfax, and Nicolas, Henri
- Subjects
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV] ,[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
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