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Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： Yan Chen Qiang Wu Xiangjian He Wenjing Jia Tom Hintz Faculty of Information Technology University of Technology Sydney Australia

ISBN: (纸本)9781424431618

This paper proposes a novel method for human detection from static images based on pixel structure of input images. In training stage, all sample images consisting of human images and non-human images are used to construct a Hausdorff distance map based on statistically analyzing the difference between the different blocks on each original image. A projection matrix will be created with Linear Discriminant Method (LDM) based on the Hausdorff distance map. This projection matrix will be used to transform multidimensional feature vectors (distance maps of testing images) into a feature in a one-dimensional domain. The decision will be made on the simple one- dimensional feature domain according to a precalculated threshold to distinguish human figures from non-human figures. In comparison with the common method based on Mahalanobis distance maps, the proposed method based on Hausdorff distance maps performs much better. Encouraging experimental results have been obtained using 800 human images and 800 non-human images. .

关键词： Humans Pixel Motion detection Videos Image analysis Shape computer vision Euclidean distance Digital images computer applications

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Fast Estimation of Epipolar Geometry Using High Breakdown M-estimators

Fast Estimation of Epipolar Geometry Using High Breakdown M-...

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Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： Reza Hoseinnezhad Alireza Bab-Hadiashar Faculty of Engineering and Industrial Sciences Swinburne University of Technology Hawthorn VIC Australia

ISBN: (纸本)9781424431618;9780769530673

The high breakdown M-estimator (HBM) is introduced in this paper as an outstanding choice compared to modern high breakdown estimators for epipolar geometry estimation and motion segmentation problems. It is mathematically demonstrated that since HBM automatically guides its cost optimization using an iterative reweighted least square regression (instead of using random sampling like high breakdown RANSAC-based techniques), its computational cost is substantially cheaper than that of modern high breakdown estimators. In a number of experiments involving both synthetic and real image pairs, the performance of HBM, MSSE and pbM-estimator to solve fundamental matrix estimation problems are compared. The results verify that in terms of computational cost, HBM significantly outperforms the modern RANSAC-based high breakdown estimator and the pbM-estimator, while the estimation accuracies of HBM and its tolerances to high fractions of gross or pseudo outliers are similar to the other estimators. For real-time epipolar geometry estimation and multiple motion segmentation problems that involve multi-structured data segmentation (large fractions of outliers), application of the HBM-estimator for fast computation is highly recommended.

关键词： Electric breakdown Motion estimation Computational geometry computer vision Robustness Motion segmentation computer industry Australia Computational efficiency Image segmentation

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Perceptual Image Representation

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EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING 2007年第1期2007卷 098181-098181页

作者： Mancas, Matei Gosselin, Bernard Macq, Benoit Fac Polytech Mons Theorie Circuits & Traitement Signal TCTS Lab B-7000 Mons Belgium Catholic Univ Louvain Lab Telecommun & Teledetect TELE B-1348 Louvain Belgium

This paper describes a rarity-based visual attention model working on both still images and video sequences. Applications of this kind of models are numerous and we focus on a perceptual image representation which enhances the perceptually important areas and uses lower resolution for perceptually less important regions. Our aim is to provide an approximation of human perception by visualizing its gradual discovery of the visual environment. Comparisons with classical methods for visual attention show that the proposed algorithm is well adapted to anisotropic filtering purposes. Moreover, it has a high ability to preserve perceptually important areas as defects or abnormalities from an important loss of information. High accuracy on low-contrast defects and scalable real-time video compression may be some practical applications of the proposed image representation. Copyright (C) 2007 Matei Mancas et al.

关键词： Image Processing pattern recognition computer vision Human Perception Video Sequence

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Video Summarization Based on Camera Motion and a Subjective Evaluation Method

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EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING 2007年第unknown期2007卷 060245-060245页

作者： Guironnet, M. Pellerin, D. Guyader, N. Ladret, P. Lab Grenoble Image Parole Signal Automat GIPSA La F-38031 Grenoble France

We propose an original method of video summarization based on camera motion. It consists in selecting frames according to the succession and the magnitude of camera motions. The method is based on rules to avoid temporal redundancy between the selected frames. We also develop a new subjective method to evaluate the proposed summary and to compare different summaries more generally. Subjects were asked to watch a video and to create a summary manually. From the summaries of the different subjects, an "optimal" one is built automatically and is compared to the summaries obtained by different methods. Experimental results show the efficiency of our camera motion-based summary. Copyright (C) 2007 M. Guironnet et al.

关键词： Image Processing pattern recognition computer vision Subjective Evaluation Original Method

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An Overview on Wavelets in Source Coding, Communications, and Networks

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EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING 2007年第unknown期2007卷 060539-060539页

作者： Fowler, James E. Pesquet-Popescu, Beatrice Mississippi State Univ Dept Elect & Comp Engn GeoResources Inst Mississippi State MS 39762 USA Ecole Natl Super Telecommun Bretagne Dept Traitement Signal & Images F-75634 Paris France

The use of wavelets in the broad areas of source coding, communications, and networks is surveyed. Specifically, the impact of wavelets and wavelet theory in image coding, video coding, image interpolation, image-adaptive lifting transforms, multiple-description coding, and joint source-channel coding is overviewed. Recent contributions in these areas arising in subsequent papers of the present special issue are described. Copyright (C) 2007 J. E. Fowler and B. Pesquet-Popescu.

关键词： Image Processing pattern recognition computer vision Source Code Video Code

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Quality Variation Control for Three-Dimensional Wavelet-Based Video Coders

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EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING 2007年第1期2007卷 083068-083068页

作者： Seran, Vidhya Kondi, Lisimachos P. SUNY Buffalo Dept Elect Engn Buffalo NY 14260 USA

The fluctuation of quality in time is a problem that exists in motion-compensated-temporal-filtering (MCTF-) based video coding. The goal of this paper is to design a solution for overcoming the distortion fluctuation challenges faced by wavelet-based video coders. We propose a new technique for determining the number of bits to be allocated to each temporal subband in order to minimize the fluctuation in the quality of the reconstructed video. Also, the wavelet filter properties are explored to design suitable scaling coefficients with the objective of smoothening the temporal PSNR. The biorthogonal 5/3 wavelet filter is considered in this paper and experimental results are presented for 2D+t and t+2D MCTF wavelet coders. Copyright (C) 2007 V. Seran and L. P. Kondi.

关键词： Image Processing Variation Control pattern recognition computer vision Quality Variation

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Costs and Advantages of Object-Based Image Coding with Shape-Adaptive Wavelet Transform

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EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING 2007年第unknown期2007卷 078323-078323页

作者： Cagnazzo, Marco Parrilli, Sara Poggi, Giovanni Verdoliva, Luisa Univ Naples Federico II Dipartimento Ingn Elettron & Telecomunicaz I-80125 Naples Italy

Object-based image coding is drawing a great attention for the many opportunities it offers to high-level applications. In terms of rate-distortion performance, however, its value is still uncertain, because the gains provided by an accurate image segmentation are balanced by the inefficiency of coding objects of arbitrary shape, with losses that depend on both the coding scheme and the object geometry. This work aims at measuring rate-distortion costs and gains for a wavelet-based shape-adaptive encoder similar to the shape-adaptive texture coder adopted inMPEG-4. The analysis of the rate-distortion curves obtained in several experiments provides insight about what performance gains and losses can be expected in various operative conditions and shows the potential of such an approach for image coding. Copyright (C) 2007 Marco Cagnazzo et al.

关键词： Image Processing pattern recognition computer vision Image Segmentation Wavelet Transform

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A Motion-Compensated Overcomplete Temporal Decomposition for Multiple Description Scalable Video Coding

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EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING 2007年第1期2007卷 031319-031319页

作者： Tillier, Christophe Petrisor, Teodora Pesquet-Popescu, Beatrice ENST Signal & Image Proc Dept F-75634 Paris 13 France

We present a new multiple-description coding (MDC) method for scalable video, designed for transmission over error-prone networks. We employ a redundant motion-compensated scheme derived from the Haar multiresolution analysis, in order to build temporally correlated descriptions in a t + 2D video coder. Our scheme presents a redundancy which decreases with the resolution level. This is achieved by additionally subsampling some of the wavelet temporal subbanbds. We present an equivalent four-band lifting implementation leading to simple central and side decoders as well as a packet-based reconstruction strategy in order to cope with random packet losses. Copyright (C) 2007 Christophe Tillier et al.

关键词： Image Processing pattern recognition computer vision Packet Loss Temporal Decomposition

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心理认知计算的研究现状及发展趋势

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模式识别与人工智能 2011年第2期24卷 215-225页

作者：王志良郑思仪王先梅王巍北京科技大学信息工程学院北京100083 武警北京指挥学院北京100012

心理认知计算是智能化人机交互技术的一个重要组成部分,近年来得到广泛的关注.文中综述国内外心理认知计算的研究进展.首先介绍心理认知计算的相关概念,详细叙述心理状态理解的研究内容和机制.其次总结心理认知的神经生物学研究成果,对... 详细信息

心理认知计算是智能化人机交互技术的一个重要组成部分,近年来得到广泛的关注.文中综述国内外心理认知计算的研究进展.首先介绍心理认知计算的相关概念,详细叙述心理状态理解的研究内容和机制.其次总结心理认知的神经生物学研究成果,对心理情感状态和心理认知状态的研究现状进行了比较,从模式提取和模型建立两方面对心理认知在人机交互中的发展趋势作了分析,提出多模态信息融合的多层级心理状态视觉认知计算模型框架.最后讨论研究心理认知计算的重要意义和当前存在的主要困难.

关键词：心理状态理解认知计算视觉人机交互

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An Empirical Study of Visual Features for Part Based Model

An Empirical Study of Visual Features for Part Based Model

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第一届亚洲模式识别会议

作者： Junge Zhang Yinan Yu Shuai Zheng Kaiqi Hua National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences National Laboratory of Pattern RecognitionInstitute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781457701221

Object detection is a fundamental task in computer vision. Deformable part based model has achieved great success in the past several years, demonstrating very promising performance. Many papers emerge on part based model such as structure learning, learning more discriminative features. To help researchers better understand the existing visual features’ potential for part based object detection and promote the deep research into part based object representation, we propose an evaluation framework to compare various visual features’ performance for part based model. The evaluation is conducted on challenging PASCAL VOC2007 dataset which is widely recognized as a benchmark database. We adopt Average Precision (AP) score to measure each detector’s performance. Finally, the full evaluation results are present and discussed.

关键词： Histograms Object detection Image color analysis Visualization computer vision Deformable models Color

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