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International Conference on Information Visualisation (IV)

作者： J.P. Charalambos E. Izquierdo Image Processing and Computer Graphics Research Laboratory Department of Computer Sciences National University Colombia Department of Electronic Engineering Queen Mary University of London London UK

A visualization scheme as a tool to find the solution of any 3D-linear programming problem is introduced. The presented approach is highly suitable to draw and visualize interactively the feasible region of a given 3D-linear programming problem. It can be used for a better understanding of the solution process when different methods devoted to solve the underlying problem are applied, e.g., the simplex method. The proposed technique comprises sensitive analysis during the solution process and interactive visualization of the feasible region. The analysis leading to the introduced schema also shows that the design of an appropriate and simple vertex representation is crucial to manage any order of degeneracy. To deal with this paradigm and to some extent to formalize it, the concept of adjacency invariance is introduced. Several experiments have been conducted to test and assess the performance of the introduced concepts and techniques.

关键词： Linear programming Visualization Testing computer graphics image processing Appropriate technology Stress Algorithm design and analysis

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An extended probabilistic collaborative representation based classifier for image classification

An extended probabilistic collaborative representation based...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Rushi Lan Yicong Zhou Key Laboratory of Intelligent Processing of Computer Image and Graphics Guilin University of Electronic Technology Guilin China Department of Computer and Information Science University of Macau Macau China

ISBN: (纸本)9781509060689

Collaborative representation based classifier (CRC) and its probabilistic improvement ProCRC have achieved satisfactory performance in many image classification applications. They, however, do not comprehensively take account of the structure characteristics of the training samples. In this paper, we present an extended probabilistic collaborative representation based classifier (EProCRC) for image classification. Compared with CRC and ProCRC, the proposed EProCRC further considers a prior information that describes the distribution of each class in the training data. This prior information enlarges the margin between different classes to enhance the discriminative capacity of EProCRC. Experiments on two challenging databases, namely CUB200-2011 and Caltech-256, are conducted to evaluate EProCRC, and comparison results demonstrate that it outperforms several state-of-the-art classifiers.

关键词： Training Collaboration Probabilistic logic Training data Feature extraction Databases Robustness

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FAST ALGORITHM FOR COMPUTING FRACTAL DIMENSIONS OF image SEGMENTS

FAST ALGORITHM FOR COMPUTING FRACTAL DIMENSIONS OF IMAGE SEG...

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SATELLITE CONF AT THE 1988 BIANNUAL INTERNATIONAL CONF ON PATTERN RECOGNITION : RECENT ISSUES IN PATTERN ANALYSIS AND RECOGNITION

作者： CREUTZBURG, R IVANOV, E Central Institute of Cybernetics and Information Processes International Basic Laboratory for Image Processing and Computer Graphics Academy of Sciences of the G.D.R. Kurstr. 33 P. O. Box 1298 Berlin DDR - 1086 Germany Department of Information Techniques University of Technology Mommsenstr. 13 Dresden DDR - 8027 Germany

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Classification of gothic and baroque architectural elements

Classification of gothic and baroque architectural elements

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International Conference on Systems, Signals and image processing, IWSSIP

作者： Gayane Shalunts Yll Haxhimusa Robert Sablatnig Institute of Computer Aided Automation Computer Vision Laboratory University of Technology Vienna Austria Institute of Computer Graphics and Algorithms Pattern Recognition and Image Processing Lab University of Technology Vienna Austria

Architectural elements are the components and details of buildings. Their unique set, combination, design, construction technique form the architectural style of buildings. Building facade classification by architectural styles is viewed as a task of classifying separate architectural structural elements. In the scope of building facade architectural style classification the current paper targets the problem of classification of Gothic and Baroque architectural elements called tracery, pediment and balustrade. Since certain gradient directions dominate on the shape of each architectural element, discrimination between dominating gradients means classification of architectural elements and thus architectural styles. We use local features to describe gradient directions. Our approach is based on clustering and learning of local features and yields a high classification rate.

关键词： Shape Three dimensional displays Visualization computer vision Histograms Windows

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OPTIMAL PARALLEL CONFLICT-FREE ACCESS TO EXTENDED BINARY-TREES

OPTIMAL PARALLEL CONFLICT-FREE ACCESS TO EXTENDED BINARY-TRE...

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SATELLITE CONF AT THE 1988 BIANNUAL INTERNATIONAL CONF ON PATTERN RECOGNITION : RECENT ISSUES IN PATTERN ANALYSIS AND RECOGNITION

作者： CREUTZBURG, R ANDREWS, L Central Institute of Cybernetics and Information Processes International Basic Laboratory for Image Processing and Computer Graphics Academy of Sciences of the G.D.R. Kurstrasse 33 P.O.Box 1298 Berlin DDR - 1086 Germany Department of Mathematics Humboldt-University of Berlin Unter den Linden 6 P.O.Box 1297 Berlin DDR - 1086 Germany

In this paper the parallel conflict-free access to complete extended binary subtrees of complete binary trees is investigated. Thereby linear and also nonlinear memory module assignment functions S are considered. Fur... 详细信息

ISBN: (纸本)0387518150

关键词： Binary trees

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Testing cross-platform streaming of video games over wired and wireless LANs

Testing cross-platform streaming of video games over wired a...

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24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010

作者： Jurgelionis, A. Bellotti, F. De Gloria, A. Laulajainen, J.-P. Fechteler, P. Eisert, P. David, H. Department of Biophysical and Electronic Engineering University of Genoa Genoa Italy Converging Networks Laboratory VTT Technical Research Centre of Finland Oulu Finland Computer Vision and Graphics Image Processing Department Heinrich-Hertz-Institute Fraunhofer-Institute for Telecommunications Berlin Germany R and D Department Exent Technologies Ltd. Petach Tikva Israel

ISBN: (纸本)9780769540191

In this paper we present a new cross-platform approach for video game delivery in wired and wireless local networks. The developed 3D streaming and video streaming approaches enable users to access video games on set top boxes and handheld devices that natively are not capable to run PC games. During the development of the distributed gaming system we have faced a number of challenges and problems posed by the hardware and network limitations. In order to solve these problems we have developed a multilevel testing methodology which is based on user assessment and technical measures for the system under development. In this paper we focus on the technical measures and instrumentation that we use for the system's performance measurement and testing. The benefits of our testing methodology are demonstrated through examples from the development and testing work. © 2010 IEEE.

关键词： Human computer interaction

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A Comprehensive Analysis of Recent Advancements in Visual Transformer Research for image Classification

SSRN

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SSRN 2023年

作者： Peng, Bin Bai, Jing Li, Wenjing Ma, Xiangyu Xi, Shuting School of Computer Science and Engineering North Minzu University Yinchuan750021 China National Ethnic Affairs Commission Image Graphics Intelligent Processing Laboratory Yinchuan750021 China

Transformer has become a widely used deep learning model in computer Vision applications, alongside Convolutional Neural Networks. Its ability to capture long-term dependencies through self-attention mechanism has made it a popular choice in image classification tasks. In this paper, we offer a holistic review of the current state of Visual Transformer research in the context of image classification. First, an overview of the fundamental architecture and principles of Transformer is provided. Then, a comprehensive review of recent advancements in visual transformers for traditional image classification is conducted. Specifically, we focus on three key aspects of research: computational efficiency, performance improvement, and training optimization. Additionally, the domain-specific image classification applications of Transformer are summarized and analyzed. Ultimately, we highlight the achievements and challenges encountered in visual transformer research for image classification, and provide valuable insights for future research. The comprehensive review and further analysis of the recent advancements and their potential impact on the field contribute to the ongoing progress in visual transformer research and lays the groundwork for further developments in image classification. © 2023, The Authors. All rights reserved.

关键词： computer vision

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Adaptive feature selection and extraction approaches for image retrieval based on region

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Journal of Multimedia 2010年第1期5卷 85-92页

作者： Song, Haiyu Li, Xiongfei Wang, Pengjie Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Institute of Computer Graphics and Image Processing Dalian Nationalities University Dalian China State Key Laboratory of CAD and CG Zhejiang University Hangzhou China

image retrieval based on region is one of the most promising and active research directions in recent year's CBIR, while region segmentation, feature selection and feature extraction of region are key issues. However, the existing approaches always adopt a uniform approach of segmentation and feature extraction for all images in the same system. In this paper, we propose adaptive image segmentation and feature extraction approach according to different category image for image retrieval system. To improve performance, we propose adaptive segmentation approach according to different category image. Textured image is segmented by Gaussian Mixture Models (GMM), while non-textured image is segmented by our proposed block-based normalized cut. To accurately describe feature of region, we propose weight assignment method for centroid pixel and its neighbor by convolution with normal distribution when image segmentation by GMM. To improve generalization, we propose adaptive number of Fourier descriptors of shape signature which depends on the energy distribution of Fourier descriptors, instead of fixed number by experience. To simply and efficiently describe the spatial relationships of multi-object or multi-region in same image, we apply simplified topological relationships. The experiments demonstrate that proposed approaches are superior to the traditional approaches. © 2010 ACADEMY PUBLISHER.

关键词： Feature extraction

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image annotation refinement using dynamic weighted voting based on mutual information

Journal of Software

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Journal of Software 2011年第11 SPEC. ISSUE期6卷 2239-2246页

Automatic image annotation is a promising solution to narrow the semantic gap between low-level content and high-level semantic concept, which has been an active research area in the fields of image retrieval, pattern recognition, and machine learning. However, even the most dedicated annotation algorithms are often unsatisfactory. image annotation refinement has attracted much more attention recently. In this paper, a novel refinement algorithm using dynamic voting based on mutual information is proposed. Unlike the traditional refinement algorithm, the proposed algorithm adopts dynamic weighted voting to measure the dependence between the candidate annotations, which not only permits that the annotations with higher probabilities deny the annotations with lower probabilities, but also permits that the annotations with lower probabilities deny the annotations with higher probabilities. The proposed refinement algorithm adopts progressive method instead of iterative, which can significantly decrease the time cost of refining annotations. In order to further improve efficiency without sacrificing precision, we propose the block-based normalized cut algorithm to segment image. Experiments conducted on standard Washington Ground Truth image Database demonstrate the effectiveness and efficiency of our proposed approach for refining image annotations. © 2011 ACADEMY PUBLISHER.

关键词： image annotation

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Automated matching experiments with different kinds of SAR imagery

Automated matching experiments with different kinds of SAR i...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： M. Gelautz G. Jakob G. Paar S. Hensley F. Leberl Institute for Computer Graphics Technical University of Graz Graz Austria JOANNEUM RESEARCH Institute of Digital Image Processing Graz Austria Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA

The authors carry out tests with two readily available automated matching algorithms in their application to (a) Magellan SAR stereo images, and (b) ERS-1 and X-SAR real-simulated images. The match points are examined... 详细信息

关键词： Testing Computational modeling Pixel image matching Radar imaging Speckle Shape measurement computer graphics Drives Digital images

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