39 results on '"Qiu, Guoping"'
Search Results
2. Failure Analysis of Compressor IGV in 9F Gas Turbine Generator Unit.
- Author
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Gu, Shuchao, An, Dong, Qiu, Guoping, Wang, Ruixuan, and Liu, Yuzhe
- Subjects
FAILURE analysis ,TURBINE generators ,GAS turbines ,COMPRESSORS ,STRAINS & stresses (Mechanics) ,STRESS concentration ,STRESS corrosion cracking ,CORROSION fatigue - Abstract
Several compressor inlet guide vanes (IGV) with cracks of 9F gas turbine generator unit have been found fractured during the inspection process. The purpose of this paper is to find out the failure cause of those fractured IGV in terms of visual inspection, metallographic examination, chemical component analysis, microscopic fracture analysis, hardness test and energy spectrum analysis and so on. Macro-observations showed that all the breaking points were located at the chamfering position of IGV root, where exits the stress concentration confirmed by the stress analysis. According to the results of energy spectrum analysis, the corrosive element such as chlorine and sulfur were enriched on the IGV surface, producing local pitting corrosion and formation of corrosion fatigue source. In addition, the coarse martensite structure and organizational segregation of individual IGV by means of metallographic examination resulted in the performance degradation including strength and corrosion resistance, which accelerated the formation and propagation of the stress corrosion fatigue crack. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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3. Geographical and temporal huff model calibration using taxi trajectory data.
- Author
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Gong, Shuhui, Cartlidge, John, Bai, Ruibin, Yue, Yang, Li, Qingquan, and Qiu, Guoping
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TAXI service ,URBAN transportation ,INFORMATION sharing ,URBAN planning ,CALIBRATION ,HOME prices - Abstract
The Huff model is designed to estimate the probability of shopping centre patronage based on a shopping centre's attractiveness and the cost of a customer's travel. In this paper, we attempt to discover some general shopping trends by calibrating the Huff model in Shenzhen, China, and New York, USA, using taxi trajectory GPS data and sharing bikes GPS data. Geographical and Temporal Weighted Regression (GTWR) is used to fit the model, and calibration results are compared with Ordinary Least Squares (OLS) regression, Geographical Weighted Regression (GWR), and Temporal Weighted Regression (TWR). Results show that GTWR gives the highest performance due to significant geographical and temporal variation in the Huff model parameters of attractiveness and travel cost. To explain the geographical variation, we use residential sales' and rental prices in Shenzhen and New York as a proxy for customers' wealth in each region. Pearson product-moment correlation results show a medium relationship between localised sales' and rental prices and the Huff model parameter of attractiveness: that is, customer wealth explains geographic sensitivity to shopping area attractiveness. To explain temporal variation, we use census data in both Shenzhen and New York to provide job profile distributions for each region as a proxy to estimate customers' spare leisure time. Regression results demonstrate that there is a significant linear relationship between the length of spare time and the parameter of shopping area attractiveness. In particular, we demonstrate that wealthy customers with less spare time are more sensitive to a shopping centre's attractiveness. We also discover customers' sensitivities to travel distance are related to their travel mode. In particular, people riding bikes to shopping areas care much more about trip distance compared with people who take taxi. Finally, results show a divergence in behaviours between customers in New York and Shenzhen at weekends. While customers in New York prefer to shop more locally at weekends, customers in Shenzhen care less about trip distance. We provide the GTWR calibration of the Huff model as our theoretical contribution. GTWR extends the Huff model to two dimensions (time and space), so as to analyse the differences of residents' travel behaviours in different time and locations. We also provide the discoveries of factors affecting urban travel behaviours (wealth and employment) as practical contributions that may help optimise urban transportation design. In particular, the sensitivity of residents to the attraction of shopping areas has a significant positive linear relationship with the housing price and a significant negative linear relationship with the residents' length of spare time. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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4. Combined window filtering and its applications.
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Yin, Hui, Gong, Yuanhao, and Qiu, Guoping
- Abstract
We present a new local window based image processing framework, which is particularly effective on edge-preserving and texture-removing. This seemingly contradictive effect is achieved by combining the traditional full window filtering strategy (FWF), which is good at removing noise, and the recently proposed side window filtering (SWF) strategy, which is good at preserving edges, so the new framework is called combined window filtering (CWF). By using window inherent variation method, we can easily distinguish the edges of structures from the texture. For the pixels on edges, SWF is used to preserve them and for the pixels on texture, FWF with multiple scales is used to remove them. This technique is surprisingly simple yet very effective in practice. We show that many traditional linear and nonlinear filters can be easily implemented under CWF framework. Extensive analysis and experiments show that implementing the CWF principle can significantly improve their edge-preserving and texture-removing capabilities and achieve state of the art performances in applications. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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5. Lipschitz constrained GANs via boundedness and continuity.
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Liu, Kanglin and Qiu, Guoping
- Subjects
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GENERATIVE adversarial networks , *LIPSCHITZ spaces , *CONVOLUTIONAL neural networks , *CONTINUITY , *HEURISTIC , *COMPUTATIONAL complexity - Abstract
One of the challenges in the study of generative adversarial networks (GANs) is the difficulty of its performance control. Lipschitz constraint is essential in guaranteeing training stability for GANs. Although heuristic methods such as weight clipping, gradient penalty and spectral normalization have been proposed to enforce Lipschitz constraint, it is still difficult to achieve a solution that is both practically effective and theoretically provably satisfying a Lipschitz constraint. In this paper, we introduce the boundedness and continuity (BC) conditions to enforce the Lipschitz constraint on the discriminator functions of GANs. We prove theoretically that GANs with discriminators meeting the BC conditions satisfy the Lipschitz constraint. We present a practically very effective implementation of a GAN based on a convolutional neural network (CNN) by forcing the CNN to satisfy the BC conditions (BC–GAN). We show that as compared to recent techniques including gradient penalty and spectral normalization, BC–GANs have not only better performances but also lower computational complexity. [ABSTRACT FROM AUTHOR]
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- 2020
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6. Habitat image annotation with low-level features, medium-level knowledge and location information.
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Torres, Mercedes and Qiu, Guoping
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RANDOM forest algorithms , *ECOLOGISTS , *HEATHLANDS , *GRASSLANDS , *MARSHES - Abstract
The classification of habitats is crucial for structuring knowledge and developing our understanding of the natural world. Currently, most successful methods employ human surveyors -a laborious, expensive and subjective process. In this paper, we formulate habitat classification as a fine-grained visual categorization problem. We build on previous work and propose an image annotation framework that uses a novel automatic random forest-based method and that takes into consideration visual and geographical closeness in the classification process. During training, low-level visual features and medium-level contextual information are extracted. For the latter, we use a human-in-the-loop methodology by asking humans a set of 17 questions about the appearances of the image that can be easily answered by non-ecologists to extract medium-level knowledge about the images. During testing, and considering that close areas have similar ecological properties, we weigh the influence of the prediction of each tree of the forest according to their distance to the unseen test photography. Additionally, we present an updated version of a geo-referenced habitat image database containing over 1,000 high-resolution ground photographs that have been manually annotated by habitat classification experts. This has been made publicly available image database specifically designed for the development of multimedia analysis techniques for ecological applications. We show experimental recall and precision results which illustrate that our image annotation framework is able to annotate with a reasonable degree of confidence four of the main habitat classes: woodland and scrub, grassland and marsh, heathland and miscellaneous. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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7. A High Dynamic Range Microscopic Video System.
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Zheng, Chi, Bernal, Salvador Garcia, and Qiu, Guoping
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- 2015
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8. A Comparison of Five HSV Color Selection Interfaces for Mobile Painting Search.
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Zhang, Min, Qiu, Guoping, Alechina, Natasha, and Atkinson, Sarah
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- 2015
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9. Bundling centre for landmark image discovery.
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Zhang, Qian and Qiu, Guoping
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- 2016
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10. Altered expression of long non-coding RNAs during genotoxic stress-induced cell death in human glioma cells.
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Liu, Qian, Sun, Shanquan, Yu, Wei, Jiang, Jin, Zhuo, Fei, Qiu, Guoping, Xu, Shiye, and Jiang, Xuli
- Abstract
Long non-coding RNAs (lncRNAs), a recently discovered class of non-coding genes, are transcribed throughout the genome. Emerging evidence suggests that lncRNAs may be involved in modulating various aspects of tumor biology, including regulating gene activity in response to external stimuli or DNA damage. No data are available regarding the expression of lncRNAs during genotoxic stress-induced apoptosis and/or necrosis in human glioma cells. In this study, we detected a change in the expression of specific candidate lncRNAs (neat1, GAS5, TUG1, BC200, Malat1, MEG3, MIR155HG, PAR5, and ST7OT1) during DNA damage-induced apoptosis in human glioma cell lines (U251 and U87) using doxorubicin (DOX) and resveratrol (RES). We also detected the expression pattern of these lncRNAs in human glioma cell lines under necrosis induced using an increased dose of DOX. Our results reveal that the lncRNA expression patterns are distinct between genotoxic stress-induced apoptosis and necrosis in human glioma cells. The sets of lncRNA expressed during genotoxic stress-induced apoptosis were DNA-damaging agent-specific. Generally, MEG3 and ST7OT1 are up-regulated in both cell lines under apoptosis induced using both agents. The induction of GAS5 is only clearly detected during DOX-induced apoptosis, whereas the up-regulation of neat1 and MIR155HG is only found during RES-induced apoptosis in both cell lines. However, TUG1, BC200 and MIR155HG are down regulated when necrosis is induced using a high dose of DOX in both cell lines. In conclusion, our findings suggest that the distinct regulation of lncRNAs may possibly involve in the process of cellular defense against genotoxic agents. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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11. Multiscale Discriminant Saliency for Visual Attention.
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Le Ngo, Anh Cat, Ang, Kenneth Li-Minn, Qiu, Guoping, and Kah-Phooi, Jasmine Seng
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- 2013
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12. `A Is for Art' – My Drawings, Your Paintings.
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Zhang, Min, Atkinson, Sarah, Alechina, Natasha, and Qiu, Guoping
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- 2013
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13. Information-Based Scale Saliency Methods with Wavelet Sub-band Energy Density Descriptors.
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Le Ngo, Anh Cat, Ang, Li-Minn, Qiu, Guoping, and Seng, Kah Phooi
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- 2013
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14. Random Forest for Image Annotation.
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Fu, Hao, Zhang, Qian, and Qiu, Guoping
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- 2012
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15. Computer Aided Skin Lesion Diagnosis with Humans in the Loop.
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Razeghi, Orod, Qiu, Guoping, Williams, Hywel, and Thomas, Kim
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- 2012
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16. A Novel Method for Block Size Forensics Based on Morphological Operations.
- Author
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Luo, Weiqi, Huang, Jiwu, and Qiu, Guoping
- Abstract
Passive forensics analysis aims to find out how multimedia data is acquired and processed without relying on pre-embedded or pre-registered information. Since most existing compression schemes for digital images are based on block processing, one of the fundamental steps for subsequent forensics analysis is to detect the presence of block artifacts and estimate the block size for a given image. In this paper, we propose a novel method for blind block size estimation. A 2×2 cross-differential filter is first applied to detect all possible block artifact boundaries, morphological operations are then used to remove the boundary effects caused by the edges of the actual image contents, and finally maximum-likelihood estimation (MLE) is employed to estimate the block size. The experimental results evaluated on over 1300 nature images show the effectiveness of our proposed method. Compared with existing gradient-based detection method, our method achieves over 39% accuracy improvement on average. [ABSTRACT FROM AUTHOR]
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- 2009
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17. Detect Digital Image Splicing with Visual Cues.
- Author
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Qu, Zhenhua, Qiu, Guoping, and Huang, Jiwu
- Abstract
Image splicing detection has been considered as one of the most challenging problems in passive image authentication. In this paper, we propose an automatic detection framework to identify a spliced image. Distinguishing from existing methods, the proposed system is based on a human visual system (HVS) model in which visual saliency and fixation are used to guide the feature extraction mechanism. An interesting and important insight of this work is that there is a high correlation between the splicing borders and the first few fixation points predicted by a visual attention model using edge sharpness as visual cues. We exploit this idea to develope a digital image splicing detection system with high performance. We present experimental results which show that the proposed system outperforms the prior arts. An additional advantage offered by the proposed system is that it provides a convenient way of localizing the splicing boundaries. [ABSTRACT FROM AUTHOR]
- Published
- 2009
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18. An Approach Based on Multiple Representations and Multiple Queries for Invariant Image Retrieval.
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Abbadeni, Noureddine
- Abstract
In this paper, we present a multiple representations and multiple queries approach to tackle the problem of invariance in the framework of content-based image retrieval (CBIR), especially in the case of texture. This approach, rather than considering invariance at the representation level, considers it at the query level. We use two models to represent texture visual content, namely the autoregressive model and a perceptual model based on a set of perceptual features. The perceptual model is used with two viewpoints: the original images viewpoint and the autocovariance function viewpoint. After a brief presentation and discussion of these multiple representation models / viewpoints, which are not invariant with respect to geometric and photometric transformations, we present the invariant texture retrieval algorithm, which is based on multiple models / viewpoints and multiple queries approach and consists in two levels of results fusion (merging): 1. The first level consists in merging results returned by the different models / viewpoints (representations) for the same query in one results list using a linear results fusion model; 2. The second level consists in merging each fused list of different queries into a unique fused list using a round robin fusion scheme. Experimentations show promising results. [ABSTRACT FROM AUTHOR]
- Published
- 2007
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19. Texture Representation and Retrieval Using the Causal Autoregressive Model.
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Abbadeni, Noureddine
- Abstract
In this paper we propose to revisit the well-known autoregressive model (AR) as a texture representation model. We consider the AR model with causal neighborhoods. First, we will define the AR model and discuss briefly the parameters estimation process. Then, we will present the synthesis algorithm and we will show some experimental results. The causal autoregressive model is applied in content-based image retrieval. Benchmarking conducted on the well-known Brodatz database shows interesting results. Both retrieval effectiveness (relevance) and retrieval efficiency are discussed and compared to the well-known multiresolution simultaneous autoregressive model (MRSAR). [ABSTRACT FROM AUTHOR]
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- 2007
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20. A Toolkit to Support Dynamic Social Network Visualization.
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Cao, Yiwei
- Abstract
In this paper we introduce the design, implementation and evaluation of the Dynamic Visualization Toolkit (DyVT) to support complex dynamic social network visualization. Dynamic aspects of social networks such as spatiotemporal as well as personalized information can be visualized in a common toolkit. To that end, an XML-based target language DyVTML is an extension of existing schemata enabling expression, storage and interchange of rich animated social network data. With the language and the available tool support, even less-experienced users can visualize temporal data in animations and spatial data in maps and personalize it with icons and colors. The prototype is evaluated by the visualization of large mailing list data sets. [ABSTRACT FROM AUTHOR]
- Published
- 2007
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21. A Fast Algorithm for License Plate Detection.
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Abolghasemi, Vahid
- Abstract
In this paper we propose a method for detection of the car license plates in 2D gray images. In this method we first estimate the density of vertical edges in the image. The regions with high density vertical edges are good candidates for license plates. In order to filter out clutter regions possessing similar feature in the edge density image, we design a match filter which models the license plate pattern. By applying the proposed filter on the edge density image followed by a thresholding procedure, the locations of license plate candidates are detected. We finally extract the boundary of license plate(s) using the morphological operations. The result of experiments on car images (taken under different imaging conditions especially complex scenes) confirms the ability of the method for license plate detection. As the complexity of the proposed algorithm is low, it is considerably fast. [ABSTRACT FROM AUTHOR]
- Published
- 2007
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22. The Predicate Tree - A Metaphor for Visually Describing Complex Boolean Queries.
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Paolino, Luca
- Abstract
In this paper, we describe a visual language, based on the so-called Predicate Tree Metaphor, which allows users to visually build complex sentences for querying commonly used search engines. By using this visual language, no parentheses have to be applied, and no precedence rules have to be known. Promising results about the usability of the proposed interface are reported, on the basis on an experimental between-group study, performed on a Yahoo-based prototype of the proposed graphical environment. [ABSTRACT FROM AUTHOR]
- Published
- 2007
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23. Potentialities of Chorems as Visual Summaries of Geographic Databases Contents.
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Del Fatto, Vincenzo, and Laurini, Robert
- Abstract
Chorems are schematized representations of territories, and so they can represent a good visual summary of spatial databases. Indeed for spatial decision-makers, it is more important to identify and map problems than facts. Until now, chorems were made manually by geographers based on the own knowledge of the territory. So, an international project was launched in order to automatically discover spatial patterns and layout chorems starting from spatial databases. After examining some manually-made chorems some guidelines were identified. Then the architecture of a prototype system is presented based on a canonical database structure, a subsystem for spatial patterns discovery based on spatial data mining, a subsystem for chorem layout, and a specialized language to represent chorems. [ABSTRACT FROM AUTHOR]
- Published
- 2007
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24. Enticing Sociability in an Intelligent Coffee Corner.
- Author
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Fachry, Khairun
- Abstract
In our project on the design of intelligent applications for an office environment we focus on the coffee corner as it is the place in an office where professional and social interactions intermingle. In this article the user-centered design of tangible interfaces, i.e. i-Candies and i-Bowl, which have been used as input devices to access company information in a coffee corner, is described. The i-Candies and the i-Bowl illustrate how everyday objects can be part of a context-aware system. By picking up one of the i-Candies and placing it on the i-Bowl, the i-Candy controls which information is presented on the wall display in the coffee corner. In our evaluation, we found that the office workers not only were enticed to interact with the i-Candies, but also that the i-Candies provided mediums that stimulate sociability among office workers. [ABSTRACT FROM AUTHOR]
- Published
- 2007
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25. Geometric and Haptic Modelling of Textile Artefacts.
- Author
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Naghdy, Fazel
- Abstract
Geometric modelling and haptic rendering of textiles is an area of research in which interest has significantly increased over the last decade. A haptic representation is created by adding the physical properties of an object to its geometric configuration. While research has been conducted into geometric modelling of fabrics, current systems require textile data to be manually entered into the computer simulation by a technician. This study explores the possibility of automatic generation of geometric and haptic models of real world textile samples. The development of a scalable and generic methodology for geometric and haptic modelling of plain weave textiles made from wool yarn is reported. This system has been successfully implemented using a step-wise procedure. Initially, an image of the textile artefact is captured. Then the critical features of the image are extracted from the image and deployed in a finite element model. The geometric model is augmented by adding physical properties of the textile and developing the haptic model. Two different haptic rendering procedures are implemented based on Reachin Application Programming Interface 3.2 (API). The developed methodologies are described and results obtained are provided. [ABSTRACT FROM AUTHOR]
- Published
- 2007
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26. Visual Information for Firearm Identification by Digital Holography.
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Li, Dongguang
- Abstract
In digital holography a CCD camera records optically generated holograms which is then reconstructed numerically by a calculation of scalar diffraction in the Fresnel approximation. The digital photography facilitates real time transmission of the message via traditional communication methods. In this paper the principle of digital holography and its application to the 3D image encryption-decryption are reviewed. The experimental results of firearm identification recording using digital holography and their numerical reconstruction are presented. [ABSTRACT FROM AUTHOR]
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- 2007
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27. Collaterally Cued Labelling Framework Underpinning Semantic-Level Visual Content Descriptor.
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Zhu, Meng
- Abstract
In this paper, we introduce a novel high-level visual content descriptor devised for performing semantic-based image classification and retrieval. The work can be treated as an attempt for bridging the so called "semantic gap". The proposed image feature vector model is fundamentally underpinned by an automatic image labelling framework, called Collaterally Cued Labelling (CCL), which incorporates the collateral knowledge extracted from the collateral texts accompanying the images with the state-of-the-art low-level visual feature extraction techniques for automatically assigning textual keywords to image regions. A subset of the Corel image collection was used for evaluating the proposed method. The experimental results indicate that our semantic-level visual content descriptors outperform both conventional visual and textual image feature models. [ABSTRACT FROM AUTHOR]
- Published
- 2007
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28. Semantic 3D CAD and Its Applications in Construction Industry - An Outlook of Construction Data Visualization.
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Shen, Zhigang
- Abstract
In response to the need of using electronic design data directly in construction management applications, many CAD developers have started implementing semantic data models in their CAD products using industry foundation classes (IFCs). While helpful, these semantic CAD applications have limitations when used in actual construction practices. The case studies in the thesis indicated that: 1) the semantics of the current data model (IFC as an example) is not rich enough to cover the richer details of the real trade practices; 2) the current implementation of the semantic data model lacks the mechanism to provide multiple trades views at various detailed levels. This paper also provided suggestions for the future development of semantic data model of construction industry. [ABSTRACT FROM AUTHOR]
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- 2007
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29. Neurovision with Resilient Neural Networks.
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Beṣdok, Erkan
- Abstract
A Neurovision System can be defined as an artificial tool that sees our physical world. The purpose of this paper is to show a novel tool to design a 3D artificial vision system based on Resilient Neural Networks. Camera Calibration (CC) is a fundamental issue for Computational-Vision. Classical CC methods comprise of taking images of objects with known geometry, extracting the features of the objects from the images, and minimizing their 3D backprojection errors. In this paper, a novel implicit-CC model based on Resilient Neural Networks, CR, has been introduced. The CR is particularly useful for 3D reconstruction of the applications that do not require explicitly computation of physical camera parameters in addition to the expert knowledge. The CR supports intelligent-photogrammetry, photogrammetron. In order to evaluate the success of the proposed implicit-CC model, the 3D reconstruction performance of the CR has been compared with two different well-known implementations of the Direct Linear Transformation (DLT). The proposed method is also robust sufficiently for dealing with different cameras because it is capable of fusion of the image coordinates sourced from different cameras once the neural network has been trained. [ABSTRACT FROM AUTHOR]
- Published
- 2007
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30. Investigating Automatic Semantic Processing Effects in Selective Attention for Just-in-Time Information Retrieval Systems.
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Meade, John
- Abstract
Just-in-Time Information Retrieval (JITIR) systems aim to automatically retrieve useful information on the basis of the user's current task and to present this information to the user without disrupting that task. We ask whether the cognitive mechanism of ‘selective semantic processing' can minimise the disruptive nature of presenting JITIR information to the user. This mechanism may allow users to subconsciously filter out irrelevant information presented in the periphery of the visual field, while maintaining awareness of relevant information. We report an experiment assessing both attention to peripherally presented information (measured via recall) and level of distraction (measured via typing keystroke rate) in a JITIR system used to write reports on various topics. The experimental results showed that peripherally presented information that was relevant to a user's writing topic reliably entered their attention significantly more often than irrelevant information, and was significantly less distracting than similar but irrelevant information. [ABSTRACT FROM AUTHOR]
- Published
- 2007
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31. Auto-generation of Geographic Cognitive Maps for Browsing Personal Multimedia.
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xiangyang Xue, Laurini, Robert, and Hyungeun Jo
- Abstract
A geographic map is an important browsing tool for multimedia data that can include personal photos, but geographically correct maps are not always easy to use for that purpose due to the frequent zooming and panning, as well as the existence of extraneous information. This paper proposes a new user-interface concept for geo-tagged personal multimedia browsing in the form of a cognitive map. In addition, design criteria are defined and an auto-generation method is presented for this map. The proposed method produces a map represented as a clustered graph with vertices and edges in real time. It is visually compact, preserves geographical relationships among locations and is designed for both PCs and mobile devices. An experiment was conducted to test the proposed method with real-life data sets. [ABSTRACT FROM AUTHOR]
- Published
- 2007
- Full Text
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32. Empirical Investigations on Benchmark Tasks for Automatic Image Annotation.
- Author
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Viitaniemi, Ville
- Abstract
Automatic image annotation aims at labeling images with keywords. In this paper we investigate three annotation benchmark tasks used in literature to evaluate annotation systems' performance. We empirically compare the first two of the tasks, the 5000 Corel images and the Corel categories tasks, by applying a family of annotation system configurations derived from our PicSOM image content analysis framework. We establish an empirical correspondence of performance levels in the tasks by studying the performance of our system configurations, along with figures presented in literature. We also consider ImageCLEF 2006 Object Annotation Task that has earlier been found difficult. By experimenting with the data, we gain insight into the reasons that make the ImageCLEF task difficult. In the course of our experiments, we demonstrate that in these three tasks the PicSOM system—based on fusion of numerous global image features—outperforms the other considered annotation methods. [ABSTRACT FROM AUTHOR]
- Published
- 2007
- Full Text
- View/download PDF
33. A Temporal and Visual Analysis-Based Approach to Commercial Detection in News Video.
- Author
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xiangyang Xue, Laurini, Robert, and Shijin Li
- Abstract
The detection of commercials in news video has been a challenging problem because of the diversity of the production styles of commercial programs. In this paper, the authors present a novel algorithm for the detection of commercials in news program. By the method suggested, firstly shot transition detection and anchorman shot recognition are conducted, then clustering analysis is employed to label commercial blocks roughly, finally the accurate boundaries of the commercials are located by analyzing the average duration of preceding and subsequent shots and the visual features of the shots, such as color, saturation and edge distribution. The experiment results show that the proposed algorithm is effective with high precision. [ABSTRACT FROM AUTHOR]
- Published
- 2007
- Full Text
- View/download PDF
34. Near-Duplicate Detection Using a New Framework of Constructing Accurate Affine Invariant Regions.
- Author
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Tian, Li
- Abstract
In this study, we propose a simple, yet general and powerful framework for constructing accurate affine invariant regions and use it for near-duplicate detection problem. In our framework, a method for extracting reliable seed points is first proposed. Then, regions which are invariant to most common affine transformations are extracted from seed points by a new method named the Thresholding Seeded Growing Region (TSGR). After that, an improved ellipse fitting method based on the Direct Least Square Fitting (DLSF) is used to fit the irregularly-shaped contours of TSGRs to obtain ellipse regions as the final invariant regions. At last, SIFT-PCA descriptors are computed on the obtained regions. In the experiment, our framework is evaluated by retrieving near-duplicate in an image database containing 1000 images. It gives a satisfying result of 96.8% precision at 100% recall. [ABSTRACT FROM AUTHOR]
- Published
- 2007
- Full Text
- View/download PDF
35. Face Image Retrieval System Using TFV and Combination of Subimages.
- Author
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Zhong, Daidi
- Abstract
Face image can be seen as a complex visual object, which combines a set of characterizing facial features. These facial features are crucial hints for machine to distinguish different face images. However, the face image also contains certain amount of redundant information which can not contribute to the face image retrieval task. Therefore, in this paper we propose a retrieval system which is aim to eliminate such effect at three different levels. The Ternary Feature Vector (TFV) is generated from quantized block transform coefficients. Histograms based on TFV are formed from certain subimages. Through this way, irrelevant information is gradually removed, and the structural and statistical information are combined. We testified our ideas over the public face database FERET with the Cumulative Match Score evaluation. We show that proper selection of subimage and feature vectors can significantly improve the performance with minimized complexity. Despite of the simplicity, the proposed measures provide results which are on par with best results using other methods. [ABSTRACT FROM AUTHOR]
- Published
- 2007
- Full Text
- View/download PDF
36. Approximation-Based Keypoints in Colour Images - A Tool for Building and Searching Visual Databases.
- Author
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Sluzek, Andrzej
- Abstract
The paper presents a framework for information retrieval in visual databases containing colour images. The concept of approximation-based keypoints is adapted to colour images; building and detection of such keypoints are explained in details. The issues of matching images are only briefly highlighted. Finally, the idea of higher-level keypoints is proposed. [ABSTRACT FROM AUTHOR]
- Published
- 2007
- Full Text
- View/download PDF
37. Image Similarity - From Fuzzy Sets to Color Image Applications.
- Author
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Qiu, Guoping, Leung, Clement, Xue, Xiangyang, Laurini, Robert, and Nachtegael, Mike
- Abstract
Image similarity is an important topic in the field of image processing. The goal is to obtain objective measures that express the similarity between two images in a way that matches human evaluation. Such measures have both theoretical and practical applications. In this paper, we show how similarity measures for fuzzy sets have been modified in order to be applied in image processing. We also discuss a new application of these measures in the context of color image retrieval, indicating the potential of this class of similarity measures. [ABSTRACT FROM AUTHOR]
- Published
- 2007
- Full Text
- View/download PDF
38. A New Approach to Estimating Hidden Message Length in Stochastic Modulation Steganography.
- Author
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Barni, Mauro, Cox, Ingemar, Kalker, Ton, Kim, Hyoung Joong, He, Junhui, Huang, Jiwu, and Qiu, Guoping
- Abstract
Stochastic modulation steganography hides secret message within the cover image by adding a weak noise signal with a specified probabilistic distribution. The advantages of stochastic modulation steganography include high capacity and better security. Current steganalysis methods that are applicable to the detection of hidden message in traditional least significant bit (LSB) or additive noise model based steganography cannot reliably detect the existence of hidden message in stochastic modulation steganography. In this paper, we present a new steganalysis approach which can reliably detect the existence and accurately estimate the length of hidden message in stochastic modulation steganography. By analyzing the distributions of the horizontal pixel difference of the images before and after stochastic modulation embedding, it is shown that for non-adaptive steganography, the distribution of the stego-image's pixel difference can be modeled as the convolution of the distribution of the cover image's pixel difference and that of the quantized stego-noise difference, and that the estimation of the hidden message length in stochastic modulation can be achieved by estimating the variance of the stego-noise. To estimate the variance of the stego-noise, hence determining the existence and the length of hidden message, we first model the distribution of the cover image's pixel difference as a generalized Gaussian and estimate the parameters of the distribution using grid search and Chi-square goodness of fit test, and then exploit the relationship between the distribution variance of the cover image's pixel difference and that of the stego-noise difference. We present experimental results to demonstrate that our new approach is effective for steganalyzing stochastic modulation steganography. Our method provides a general theoretical framework and is applicable to other non-adaptive embedding algorithms where the distribution models of the stego-noise are known or can be estimated. [ABSTRACT FROM AUTHOR]
- Published
- 2005
- Full Text
- View/download PDF
39. Region of interest weighted pooling strategy for video quality metric.
- Author
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Gu, Xiaodong, Qiu, Guoping, Feng, Xu, Debing, Liu, and Zhibo, Chen
- Subjects
DIGITAL video ,VIDEO excerpts ,MATHEMATICAL optimization ,DIGITAL communications ,PIXELS - Abstract
The objective video quality metrics have been researched for years and many methods have been proposed. As a main feature of the Human Visual System (HVS), visual attention (or Region of Interest-ROI) will influence viewer's subjective feeling since artifacts on a ROI is much more annoying than those appearing on an inconspicuous area. However, little study has been taken on identifying how and to what extent ROI will influence video quality measurements. In this paper, we propose a fully automatic region of interest weighted pooling strategy considering the influence of visual attention, which is then evaluated on VQEG Phase I FR-TV test dataset. Apparent and coherent performance improvement is achieved by applying the proposed pooling strategy on PSNR and SSIM, together with a highly reduction in computation complexity. [ABSTRACT FROM AUTHOR]
- Published
- 2012
- Full Text
- View/download PDF
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