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International Conference on Multimedia Technology

作者： Hou, Dewen Wang, Xichang Liu, Jiang Shandong Normal University Key Laboratory for Distributed Computer Software Shandong China Shandong Oumasoft Co. Ltd. Research Institute of Digital Image Processing Shandong China

ISBN: (纸本)9781424478743

This paper makes a study on content-based image retrieval algorithm for document image database. Given a query image the system returns overall similar images in database. For document images, we propose the algorithm based on hierarchical matching tree. First segment an image into several regions with paragraph marking based on paragraph height estimation, and then segment the region into line blocks, the algorithm for document image retrieval by regions and line blocks with hierarchical matching tree is presented. Also we describe the matching model and the texture character strings for indexing. This algorithm is tested through trials. The experiment results indicate this algorithm is accuracy and effective. The response time of retrieval is strongly reduced by image scaling. The efficiency of retrieval is highly valuable in document image database. ©2010 Crown.

关键词： image segmentation

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Sufficient and necessary conditions for Lyapunov stability of Lorenz system and their application

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Science China(Information Sciences) 2010年第8期53卷 1574-1583页

作者： LUO Qi 1 , LIAO XiaoXin 2 & ZENG ZhiGang 2 1 College of Information and Control, Nanjing University of Information Science and Technology, Nanjing 210044, China 2 Department of Control Science and Engineering, Huazhong University of Science and Technology, image processing and Intelligent Control key laboratory of Education Ministry of China, Wuhan 430074, China 1. College of Information and Control Nanjing University of Information Science and Technology Nanjing 210044 China2. Department of Control Science and Engineering Huazhong University of Science and Technology Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Wuhan 430074 China

The sufficient and necessary conditions for Lyapunov stability of the zero equilibrium point of Lorenz system are discussed, and some brief criteria are presented for globally exponential stability, globally asymptotical stability and instability. Furthermore, the behavior of the non-zero equilibrium point of Lorenz system is also investigated, and several sufficient and necessary conditions are provided for locally exponential stability and instability. The established theorems in this paper develop and extend the existing achievements on Lyapunov stability of Lorenz system. In conclusion, by applying the obtained results, some less conservative feedback-control laws are derived to guarantee the globally exponential stability of the chaos control of Chen system, Lu¨ system, Yang-Chen system and Yu-Xia Li system.

关键词： Lorenz system Lyapunov stability sufficient and necessary condition bifurcation values globally exponential synchronization

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Error concealment for stereoscopic images using mode selection

Error concealment for stereoscopic images using mode selecti...

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IEEE International Symposium on Intelligent Signal processing and communication Systems (ISPACS)

作者： Lijuan Song Xiuchang Zhu State Grid Electric Power Research Institute Nanjing China Jiangsu Province Key Laboratory on Image Processing & Image Communication Nanjing University of Posts and Telecommunications Nanjing China

In this paper, a novel error concealment (EC) method for compressed stereoscopic image pairs is presented, which contains a new binocular EC mode and an improved monocular EC mode. The proposed algorithm selects appropriate EC mode to conceal the error block (EB) in the stereoscopic image according to the local characteristic of the EB. The experimental results demonstrate that the proposed scheme has good subjective and objective EC performance in stereoscopic images as compared to monocular mode.

关键词： PSNR Particle measurements Atmospheric measurements Visualization

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The analysis of biological cell behaviors using Bayesian bidirectional network model

The analysis of biological cell behaviors using Bayesian bid...

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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Keming Zhang Hua Yang Chongyang Zhang Shanghai Key Laboratory of Digital Media Processing and Transmission Department of EEInstitution of Image Communication and Information Processing Shanghai Jiaotong University Shanghai China

As the increasing demand on medical and biological research, automatic behavior analysis for large scale biological cells faces a big challenge. A novel Bayesian bidirectional network model is proposed in this paper for detection and statistic of the cells behaviors such as birth, vanishing, split, merging and so on. First the cells in every frame are distinguished from background by mean shift filter and level set segmentation. Then we build a bidirectional Bayesian network by modeling the cell regions as vertices and the similarity of cell regions in successive frames as directed edges. By applying weights on the directed edges, the graph model represents the relation between cell regions. Finally, in order to remove fake edges, a iterative algorithm is adopted for analyzing the graph model and obtaining the optimal path of each cell. Experiment result shows that the proposed method is effective and accurate to detect most cells behaviors.

关键词： Bayesian methods image segmentation Level set Feature extraction Biomedical imaging Tracking image edge detection

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Block-based normalized-cut algorithm for image segmentation

Block-based normalized-cut algorithm for image segmentation

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作者： Song, Haiyu Li, Xiongfei Wang, Pengjie Chen, Jingrun Key Laboratory of Symbol Computation and Knowledge Engineering 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

ISBN: (纸本)9783642051722

Automatic image segmentation remains a challenging problem in the fields of computer vision, image analysis and understanding. A lot of algorithms and technologies have been proposed and developed for image segmentation, among which the N-cut has been a promising method and active research area due to better quality. But the N-cut can't process medium and large image dataset online due to incredible memory and time complexity. Moreover, the N-cut algorithm can't utilize texture information since its basic unit of clustering algorithm is pixel. To overcome the drawback and improve the description power, the paper proposes a block-based N-cut algorithm for image segmentation, whose basic unit of clustering is image block instead of individual pixel. Block-based algorithm not only decreases the time and storage complexity, but also improves the discrimination power of visual feature vector. The experiments demonstrate that proposed algorithm outperform the original N-cut algorithm in efficiency. Experiments show that the proposed block-based N-cut algorithm is more suitable for online processing large-scale data. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： image segmentation

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Dual-microphone noise reduction based on semi-blind DUET

Dual-microphone noise reduction based on semi-blind DUET

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International Symposium on Chinese Spoken Language processing

作者： Zhong-Hua Fu Lei Xie Domg-Mei Jiang Shaanxi Provincial Key Laboratory of Speech and Image Information Processing Northwestern Polytechnical University Xi'an Shaanxi Provincial Key Laboratory of Speech and Image Information Processing Northwestern Polytechnical University Xi'an China

Noise reduction is a fundamental requirement of many speech applications. Sometimes the major interferences, such as music, song, cross-talking, etc., coming from loudspeakers nearby make it a more challenging problem. In this paper, by supposing the locations of interferences are fixed, a semi-blind Degenerate Unmixing Estimation Technique (DUET) approach using dual-microphone is proposed. Firstly, during system initialization, the spatial feature distribution of the interferences is estimated precisely. Then the feature distribution of unknown target speech is obtained using model adaptation. Finally, a time-frequency binary mask estimated based on likelihood comparison is used to separate the target speech. The experimental results show that the performances of our approach in adverse noise reduction are significant. 77.9% interferences are eliminated and the speech quality is preserved very well. The results are close to those of un-blind approach, where the locations of all sound sources are known.

关键词： Speech

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Audio visual speech recognition based on multi-stream DBN models with articulatory features

Audio visual speech recognition based on multi-stream DBN mo...

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2010 7th International Symposium on Chinese Spoken Language processing, ISCSLP 2010

作者： Jiang, Dong-Mei Wu, Peng Wang, Feng-Na Sahli, Hichem Verhelst, Werner Shaanxi Provincial Key Laboratory on Speech Image and Information Processing School of Computer Northwestern Polytechnical University Xi'an China Department ETRO Vrije Universiteit Brussel Pleinlaan 2 1050 Brussels Belgium

ISBN: (纸本)9781424462469

We present a multi-stream Dynamic Bayesian Network model with Articulatory Features (AF-AV-DBN) for audio visual speech recognition. Conditional probability distributions of the nodes are defined considering the asynchronies between the articulatory features (AFs). Speech recognition experiments are carried out on an audio visual connected digit database. Results show that comparing with the state synchronous DBN model (SS-DBN) and state asynchronous DBN model (SA-DBN), when the asynchrony constraint between the AFs is appropriately set, the AF-AV-DBN model gets the highest recognition rates, with average recognition rate improved to 89.38% from 87.02% of SS-DBN and 88.32% of SA-DBN. Moreover, the audio visual multi-stream AF-AV-DBN model greatly improves the robustness of the audio only AF-A-DBN model, for example, under the noise of -10dB, the recognition rate is improved from 20.75% to 76.24%. ©2010 IEEE.

关键词： Speech recognition

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Coarse carrier and timing synchronization for interleaved OFDMA uplink system

Coarse carrier and timing synchronization for interleaved OF...

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IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

作者： Ruiqin Miao Jun Sun Lin Gui Jian Xiong Institute of Image Communication and Information Processing Department of Electronic Engineering Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781424444618

In orthogonal frequency division multiple access (OFDMA) uplink system, estimations of time delay and carrier frequency offset (CFO) are both particularly challenging. In this paper, a coarse CFO and time delay estimation method is proposed for interleaved OFDMA uplink system. By exploiting the special scheme of interleaved OFDMA, the repetitive time-domain training symbol is designed, and the training sequences for different users have good autocorrelation and cross-correlation properties. Furthermore, the time delay and CFO estimation metrics are presented by making certain correlation between the received training symbol and the local sequence. Through searching peak of the proposed metrics, integral CFO of many subcarriers spaces for each user can be estimated, and then timing delay for each user can be found. Simulations illustrate the proposed estimation scheme can get good performance under multipath channel.

关键词： Timing Delay estimation Delay effects Frequency conversion Frequency estimation Frequency synchronization Time domain analysis Autocorrelation Extraterrestrial measurements Multipath channels

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Extraction of human body skeleton based on silhouette images

Extraction of human body skeleton based on silhouette images

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2nd International Workshop on Education Technology and Computer Science, ETCS 2010

作者： Ding, Jianhao Wang, Yigang Yu, Lingyun State Key Laboratory of CAD and CG Zhejiang University Hangzhou China Institute of Computer Graphics and Image Processing Hangzhou Dianzi University Hangzhou China Department of Mathematics and Computing Science University of Groningen Netherlands

ISBN: (纸本)9780769539874

Skeleton extraction is essential for general shape representation. A typical skeletonization algorithm should obtain the ability to preserve original object's topological and hierarchical properties. However, most of current methods are high memory cost, computationally intensive, and also require complex data structures. In this paper, we propose an efficient and accurate skeletonization method for the skeleton feature points extracted from human body based on silhouette images. First, the gradient of distance transform is used to detect critical points inside the foreground. Then, we converge and simplify critical points in order to generate the most important and elegant skeleton feature points. Finally, we present an algorithm which connects the skeleton feature points and estimates the position of skeleton joints. © 2010 IEEE.

关键词： Extraction

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P systems with shuffle operation

P systems with shuffle operation

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2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

作者： Niu, Yunyun Xu, Jinbang Subramaniant, K.G. Department of Control Science and Engineering Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology 430074 Wuhan China School of Mathematical Sciences Universiti Sains Malaysia 11800 Penang Malaysia

ISBN: (纸本)9781424464388

Shuffle operation on trajectories is useful in modeling parallel composition of words and languages. In this work, a new class of P systems with shuffle operation is presented. Such a system has language-objects and shuffle-operation rules in its regions. It can be used as a language generator;specifically it is used to generate languages from sets of languages. Some comparison results are obtained, which show that the power of shuffle operation is enlarged in the framework of P systems. © 2010 IEEE.

关键词： Modeling languages

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