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A computational model for feature binding

Science China(Life Sciences) 2008年第5期51卷 470-478页

作者： SHI ZhiWei1,2, SHI ZhongZhi1, LIU Xi1,2 & SHI ZhiPing1 1 key laboratory of intelligent information processing, Institute of Computing technology, Chinese Academy of Sciences, Beijing 100190, China 2 Graduate University of Chinese Academy of Sciences, Beijing 100049, China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100049 China

The "Binding Problem" is an important problem across many disciplines, including psychology, neuroscience, computational modeling, and even philosophy. In this work, we proposed a novel computational model, Bayesian Linking Field Model, for feature binding in visual perception, by combining the idea of noisy neuron model, Bayesian method, Linking Field Network and competitive mechanism. Simulation Experiments demonstrated that our model perfectly fulfilled the task of feature binding in visual perception and provided us some enlightening idea for future research.

关键词： Binding Problem computational model Bayesian Linking Field Model

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Residual-loading-capacity-based ant colony system for the vehicle routing problem with simultaneous delivery and pickup

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Kongzhi Lilun Yu Yingyong/Control Theory and Applications 2009年第5期26卷 546-549页

作者： Zhang, Tao Tian, Wen-Xin Zhang, Yue-Jie Liu, Shi-Xin School of Information Management and Engineering Shanghai University of Finance and Economics Shanghai 200433 China Informatization Office in Center of Modern Education Technology Shanghai Finance University Shanghai 201209 China Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai 200433 China School of Information Science and Engineering Northeastern University Shenyang Liaoning 110004 China

The vehicle routing problem with simultaneous delivery and pickup (VRPSDP) is studied under capacity constraint and maximum distance constraint;and the mixed integer programming model is built. To deal with the fluctuation in vehicle load, we propose an ant colony system (ACS) approach by combining the pheromone updating strategy of rank-based version of the ant system (ASRank) with the MAX-MIN ant system (MMAS). A heuristic factor based on the residual loading capacity is also designed to improve the vehicle loading rate. Additionally, a local search strategy of node-exchange is used in the process of tour improvement to accelerate the searching. Finally, numerical results show that the algorithm provides the desirable solution with high convergence rate.

关键词： Pickups

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SAR image despeckling based on edge detection and nonsubsampled second generation bandelets

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Journal of Systems Engineering and Electronics 2009年第3期000卷

作者： Zhang Wenge Liu Fang Jiao Licheng Gao Xinbo School of Computer Science and Technology Xidian Univ. Xi'an 710071 P. R. China Key Lab. of Intelligent Perception and Image Understanding of Ministry of Education of China Xi'an 710071 P. R. China Key Lab. of Intelligent Perception and Image Understanding of Ministry of Education of China Xi'an 710071 P. R. China Inst. of Intelligent Information Processing Xidian Univ. Xi'an 710071 P. R. China

To preserve the sharp features and details of the synthetic aperture radar (SAR) image effectively when despeckling, a despeckling algorithm with edge detection in nonsubsampled second generation bandelet transform (NSBT) domain is proposed. First, the Canny operator is utilized to detect and remove edges from the SAR image. Then the NSBT which has an optimal approximation to the edges of images and a hard thresholding rule are used to approximate the details while despeckling the edge-removed image. Finally, the removed edges are added to the reconstructed image. As the edges are detected and protected, and the NSBT is used, the proposed algorithm reaches the state-of-the-art effect which realizes both despeckling and preserving edges and details simultaneously. Experimental results show that both the subjective visual effect and the mainly objective performance indexes of the proposed algorithm outperform that of both Bayesian wavelet shrinkage with edge detection and Bayesian least square-Ganssian scale mixture (BLS-GSM).

关键词： computer image processing synthetic aperture radar speckle edge detection nonsubsampled secondgeneration bandelet transform Canny operator threshold shrinkage

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Object-based shape-adaptive wavelet coding method for three-dimensional medical images

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Ruan Jian Xue Bao/Journal of Software 2008年第7期19卷 1635-1643页

作者： Wu, Jia-Ji Jiao, Li-Cheng Shi, Guang-Ming Wang, Lei Institute of Intelligent Information Processing Xidian University Xi'an 710071 China Key Laboratory of Intelligent Perception and Image Understanding Xidian University Xi'an 710071 China

The paper proposes a shape-adaptive wavelet coding algorithm for the known object of the diagnostic region of three-dimensional medical images. The new algorithm only applies to the shape-adaptive transformation of the pixels inside the object for decorrelation. After transformation, the number of coefficients of the object is as many as that of the pixels inside the image area. To achieve a quick and lossless transformation, a novel shape-adaptive wavelet transform based on lifting scheme for arbitrarily shaped object is proposed. By analyzing the location of invalid coefficients transformed, the paper also proposes a modified OB-3DSPECK (Object-based Set Partitioned Embedded Block Coder) method that cancels symbol outputs of invalid block or coefficients outside the object, specifically, only two types of symbols are output to arithmetic coding codec. For the object region of three-dimensional medical images, the proposed algorithm supports the lossy-to-lossless embedded en/decoding. Experimental results show that the proposed algorithm outperforms OB-3DSPIHT by 0.5 dB on the average SNR. Furthermore, because of the reduction of the output of one type symbol, the arithmetic coding becomes optional.

关键词： Wavelet transforms

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Personalized multimedia web summarizer for tourist 08

Personalized multimedia web summarizer for tourist

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17th International Conference on World Wide Web 2008, WWW'08

作者： Wu, Xiao Li, Jintao Zhang, Yongdong Tang, Sheng Neo, Shi-Yong Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing China Department of Computer Science National University of Singapore Singapore

ISBN: (纸本)9781605580852

In this paper, we highlight the use of multimedia technology in generating intrinsic summaries of tourism related information. The system utilizes an automated process to gather, filter and classify information on various tourist spots on the Web. The end result present to the user is a personalized multimedia summary generated with respect to users queries filled with text, image, video and real-time news made retrievable for mobile devices. Preliminary experiments demonstrate the superiority of our presentation scheme to traditional methods.

关键词： Automation

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An Automatic Visual Detecting Method for Semantic Object in Video

An Automatic Visual Detecting Method for Semantic Object in ...

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3rd International Conference on Pervasive Computing and Applications

作者： Li Zongmin Li Deshan Li Hua Lin Zongkai School ofComputer and Communication Engineering China University of Petroleum Shandong China Key Laboratory Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

ISBN: (纸本)9781424420209

In this paper, we propose an approach to automatic detection of semantic object. The method provides an effective content expression pattern for semantic analysis and retrieval of video. In the moving semantic object detection model, motion contrast is computed based on the planar motion (homography) between frames, which is estimated by applying RANSAC algorithm on point correspondences in the scene. In the semantic object detection model of static frame, the three features used are intensity, color and texture. Then a dynamic fusion technique is applied to combine these models. The automatic detection method can greatly decrease computation and be used in pervasive computing environment conveniently. Experimental results verify efficiency of proposed approach.

关键词： automatic detection semantic object saliency map pervasive computing

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Robust appearance-based method for head pose estimation

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Ruan Jian Xue Bao/Journal of Software 2009年第6期20卷 1651-1663页

作者： Ma, Bing-Peng Shan, Shi-Guang Chen, Xi-Lin Gao, Wen Key Laboratory of Intelligent Information Processing Chinese Acad. of Sci. Beijing 100190 China Institute of Computing Technology Chinese Acad. of Sci. Beijing 100190 China Graduate University Chinese Acad. of Sci. Beijing 100049 China School of Electronic Engineering and Computer Science Peking University Beijing 100871 China

This paper proposes a new pose estimation method based on the appearance of 2D head image. First, the 1D Gabor filters are used to extract the features on the raw images. Compared with the traditional 2D Gabor represents, the 1D Gabor represents are more closely related to the head pose, while the advantages of computation and storage are obvious. Second, for the extracted features, a new method, named kernel local fisher discriminant analysis, is applied to eliminate the multimodal problem, while at the same time enhance the discrimination ability. Experimental results show that the proposed method is effective for pose estimation. It must be pointed out that the generalizability of the proposed method is illustrated by the impressive performance when the training dataset and the testing dataset are heterogeneous. © by Institute of Software, the Chinese Academy of Sciences. All rights reserved.

关键词： Gabor filters

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The ICT System Description for IWSLT 2008 5

The ICT System Description for IWSLT 2008

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5th International Workshop on Spoken Language Translation, IWSLT 2008

作者： Liu, Yang He, Zhongjun Mi, Haitao Huang, Yun Feng, Yang Jiang, Wenbin Lu, Yajuan Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing100190 China

This paper presents a description for the ICT systems involved in the IWSLT 2008 evaluation campaign. This year, we participated in Chinese-English and English-Chinese translation directions. Four statistical machine translation systems were used: one linguistically syntax-based, two formally syntax-based, and one phrase-based. The outputs of the four SMT systems were fed to a sentence-level system combiner, which was expected to produce better translations than single systems. We will report the results of the four single systems and the combiner on both the development and test sets. © 2008 International Workshop on Spoken Language Translation, IWSLT 2008. All rights reserved.

关键词： Syntactics

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FEATURE TRANSFORMATION FOR EFFICIENTLY IMPROVING PERFORMANCE OF HSC

FEATURE TRANSFORMATION FOR EFFICIENTLY IMPROVING PERFORMANCE...

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2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

作者： FU-ZHEN ZHUANG QING HE ZHONG-ZHI SHI The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese

Hyper Surface Classification (HSC) is a novel classification method based on hyper surface which is put forward by Qing He, etc. Experiments show that HSC can efficiently and accurately classify large-size data in two dimensional space and three-dimensional space. Actually, it is difficult to deal with high dimensional data for HSC. So the dimension reduction (data rearrangement) and ensemble methods (feature subspace) are proposed for HSC. But the method based on ensemble will produce many inconsistent and repetitious data in some density dataset, which influence the classification ability of HSC. To solve the problem, a simple and effective kind of data feature transformation method for enhancing performance of HSC is proposed in this paper. The experimental results show that this method can efficiently reduce the inconsistent and repetitious data, efficiently utilize the data information, and remarkably improve the classification performance of HSC.

关键词： Hyper Surface Classification Ensemble Classification Performance Feature Transformation.

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High performance word level sequential and parallel coding methods and architectures for bit plane coding

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Science in China(Series F) 2008年第4期51卷 337-351页

作者： XIONG ChengYi TIAN JinWen LIU Jian College of Electronic Information Engineering South-Central University for Nationalities Wuhan 430074 China Institute of Pattern Recognition & Artificial Intelligence Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science & Technology Wuhan 430074 China

This paper introduced a novel high performance algorithm and VLSI architectures for achieving bit plane coding （BPC） in word level sequential and parallel mode. The proposed BPC algorithm adopts the techniques of coding pass prediction and parallel ＆ pipeline to reduce the number of accessing memory and to increase the ability of concurrently processing of the system, where all the coefficient bits of a code block could be coded by only one scan. A new parallel bit plane architecture （PA） was proposed to achieve word-level sequential coding. Moreover, an efficient high-speed architecture （HA） was presented to achieve multi-word parallel coding. Compared to the state of the art, the proposed PA could reduce the hardware cost more efficiently, though the throughput retains one coefficient coded per clock. While the proposed HA could perform coding for 4 coefficients belonging to a stripe column at one intra-clock cycle, so that coding for an NxN code-block could be completed in approximate N2/4 intra-clock cycles. Theoretical analysis and experimental results demonstrate that the proposed designs have high throughput rate with good performance in terms of speedup to cost, which can be good alternatives for low power applications.

关键词： bit plane coding high performance word-level sequential multi-word parallel

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