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An epipolar resticted inter-mode selection for stereoscopic video encoding

An epipolar resticted inter-mode selection for stereoscopic ...

引用

28th Picture Coding Symposium, PCS 2010

作者： Yang, Guolei Liang, Luhong Gao, Wen Peking University China Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China

ISBN: (纸本)9781424471348

Fast stereoscopic video encoding becomes a highly desired technique because the stereoscopic video has been realizable for applications like TV broadcasting and consumer electronics. The stereoscopic video has high inter-view dependency subject to epipolar restriction, which can be used to reduce the encoding complexity. In this paper, we propose a fast inter-prediction mode selection algorithm for stereoscopic video encoding. Different from methods using disparity estimation, candidate modes are generated by sliding a window along the macro-block line restricted by the epipolar. Then the motion information is utilized to rectify the candidate modes. A selection failure handling algorithm is also proposed to preserve coding quality. The proposed algorithm is evaluated using independent H.264/AVC encoders for left and right views and can be extended to MVC. Experimental results show that encoding times of one view are reduced by 41.4% and 24.4% for HD and VGA videos respectively with little quality loss. © 2010 IEEE.

关键词： Encoding (symbols)

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Distinguishing patients with gastritis and cholecystitis from the healthy by analyzing wrist radial arterial doppler blood flow signals

Distinguishing patients with gastritis and cholecystitis fro...

引用

International Conference on Pattern Recognition

作者： Jiang, Xiaorui Zhang, Dongyu Wang, Kuanquan Zuo, Wangmeng Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Department of Computer Science and Technology Harbin Institute of Technology

ISBN: (纸本)9780769541099

This paper tries to fill the gap between Traditional Chinese Pulse Diagnosis (TCPD) and Doppler diagnosis by applying digital signal analysis and pattern classification techniques to wrist radial arterial Doppler blood flow signals. Doppler blood flows signals (DBFS) of patients with cholecystitis, gastritis and healthy people are classified by L2-soft margin SVM and 5 linear classifiers using the proposed feature - piecewise axially integrated bispectra (PAIB). A 5-fold cross validation is used for performance evaluation. The classification accuracies between either two groups of subjects are greater than 93%. Gastritis can be recognized with higher accuracy than cholecystitis. Cholecystitis can be recognized with higher accuracy on left hand data than right. The findings in this paper partly conform to the theory of TCPD. Though the sample size is relatively small, we could still argue that the methods proposed here are effective and could serve as an assistive tool for TCPD. © 2010 IEEE.

关键词： Blood

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A new evidence fusion approach for decision of proactive service

A new evidence fusion approach for decision of proactive ser...

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2010 2nd International Conference on Computational Intelligence and Natural computing, CINC 2010

作者： Zhang, De-Gan Li, Chao Li, Wei-Wei Chen, Xu-Yan School of Computer Science and Technology Tianjin University of Technology 300191 China Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin 300191 China

ISBN: (纸本)9781424477036

Multi-source heterogeneous information fusion is an extremely challenging problem because of the complex and highly irregular nature of environment. We consider decision fusion problem in the presence of m-dependent evidences in this paper. A new evidence fusion approach for decision of proactive service has introduced, which is extending of Class D-S Evidence method. We applied this approach in our active space project for seamless nomadic service of pervasive computing paradigm, good results have been attained. The validity of approach of this paper has been tested. ©2010 IEEE.

关键词： Ubiquitous computing

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Application of multidimensional association rule techniques in manufacturing resource planning system

Application of multidimensional association rule techniques ...

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2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010

作者： Wang, Fayu Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Ministry of Education Tianjin 300191 China

ISBN: (纸本)9781424459346

Association rules mining is a popular and well researched method in data mining research field , its purpose is to mine interesting relations between attributes in transaction database. Classic Apriori algorithm is one of the most influential association rules in mining boolean frequent itemsets algorithms, However, it has some disadvantages such as inefficient in generating candidate itemsets and frequently scanning database, it is not suitable for mining multiple dimensional data model which rise in recent years. A "second cut" method is proposed, which is on the basis of the Apriori algorithm. The algorithm applies to multidimensional mining association rules, and to some extent improved the efficiency of the algorithm. Referring to the manufacturing resource planning system (MRP) features of the retail points, the article sets up the sales association analysis data model based on the above algorithm. It proves that it can increase the sales dramatically by applying this methodology to the real business environment. ©2010 IEEE.

关键词： Association rules

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Research on face detection based on combination of Haar and skin colors features

Research on face detection based on combination of Haar and ...

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2010 3rd International Congress on Image and Signal Processing, CISP 2010

作者： Wang, Fayu Qi, Baokun Xing, Yong Lu, Baoan Ministry of Education Tianjin University of Technology Tianjin 300191 China Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9781424465149

Face detection and recognition is a hot research subject in the fields of image processing, pattern recognition and computer vision, which emphasize on the enhancement of the precision of detection in as short a time as possible. This paper expounds on how to detect human faces accurately from complex pictures by means of the technology of judgement based on the combination of the feature of Haar and the features of skin colors, and depicts in detail the principles and methods of detection. By the combination of the two methods, we can draw on each other's strength and promote the performance of the algorithm. It has been justified by experiments that this algorithm can produce better detection result, and, for other machinery vision application systems, it is of high value to make use of it as reference. ©2010 IEEE.

关键词： Face recognition

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A new method of image data fusion based on FNN

A new method of image data fusion based on FNN

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2010 6th International Conference on Natural Computation, ICNC'10

作者： Zhang, De-Gan Li, Chao Wang, Dong Zhang, Xiao-Li Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology 300191 China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education 300191 China

ISBN: (纸本)9781424459612

The image data are obtained by a variety of multimedia, information equipment, which include amount of information, extensive coverage, and redundancy in ubiquitous computing paradigm. In order to make use of these information reasonably and efficiently, it is necessary to fuse such massive data, therefore the multi-sensor image information fusion become a key technology to ubiquitous computing. A new approach of image data fusion based on fuzzy neural network (FNN) is presented in this paper. Here, neural network is a parallel information processing model, there are more adaptive and self-organization, and can accomplish the complexity of real-time computing and mass data retrieval, it demonstrate its unique superiority of image understanding, pattern recognition and the handling of incomplete information. In the new approach, fuzzy theory has the advantages such as: easy-to-understand, flexible and inclusive of non-precise data, as well as using expert knowledge and based on the natural language. The fuzzy neural network system developed by us has used in multi-sensor image fusion, proved that the fusion is fast, effective, good, and can meet the real-time requirements of ubiquitous computing. ©2010 IEEE.

关键词： Fuzzy neural networks

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Conditional random fields for machine translation system combination

Conditional random fields for machine translation system com...

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International Conference on Asian Language Processing

作者： Xia, Tian Zhe, Shandian Liu, Qun Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing 100190 China

ISBN: (纸本)9780769542881

Minimum Error Rate Training (MERT) as an effective parameters learning algorithm is widely applied in machine translation and system combination area. However, there exists an ambiguity problem in respect to the training goal and it is hard for MERT to tackle, that is different parameters may lead to the same minimum error rate in training but greatly different performances in testing. We propose a novel training objective as the unique goal for training towards, namely partial references, and by use of conditional random fields (CRF) to cast the decoding procedure in system combination as a sequence lab.ling problem. Experiments on Chinese-English translation test sets show that our approach significantly outperforms the MERT-based baselines with less training time. © 2010 IEEE.

关键词： Errors

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An automatic image annotation method based on the mutual K-nearest neighbor graph

An automatic image annotation method based on the mutual K-n...

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International Conference on Natural Computation

作者： Guo, Yu Tang Luo, Bin Department of Computer Science and Technology Hefei Normal University Hefei China Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei China

ISBN: (纸本)9781424459612

In order to improve the accuracy of the image annotation, an automatic image annotation method based on mutual K-nearest neighbor graph(MKNN) is proposed. The peoposed algorithm describes the relationship between low-level features, annotation words and image by a mutual K-nearest neighbor graph. Semantic information is extracted by exploitingt the mutual relationship of two nodes in the mutual K-nearest neighbor graph. Inverse document frequency (IDF) is introduced to adjust the weights of edges between the image node and its annotation word's node, which overcomes the deviation caused by high-frequency words. Experimental results in Corel image dataset show that the proposed algorithm improves effectively the image annotation performance. ©2010 IEEE.

关键词： Image annotation

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Using global statistics to rank retrieval systems without relevance judgments

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作者： Shi, Zhiwei Wang, Bin Li, Peng Shi, Zhongzhi Information Retrieval Group Center for Advanced Computing Research Institute of Computing Technology Beijing 100190 China Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS Beijing 100190 China

ISBN: (纸本)3642163262

How to reduce the amount of relevance judgments is an important issue in retrieval evaluation. In this paper, we propose a novel method using global statistics to rank retrieval systems without relevance judgments. In our method, a series of global statistics of a system, which indicate the percentage of its documents found by k out of all the N systems (k = 1, 2, ..., N), are selected, then a linear combination of the series of global statistics is utilized to fit the mean average precision (MAP) of the retrieval system. Optimal coefficients are obtained by linear regression. No human relevance judgments are required in the entire process. Compared with existing evaluation methods without relevance judgments, our method has two advantages. Firstly, it outperforms all early attempts. Secondly, it is adjustable for different effectiveness measurements, e.g. MAP, precision at n, and so forth. © 2010 IFIP.

关键词： Information retrieval

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Watershed-based weighted graph partitioning active contours

Watershed-based weighted graph partitioning active contours

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2010 3rd International Congress on Image and Signal Processing, CISP 2010

作者： Wang, Shaorong Chen, Yisong Li, Sheng Wang, Guoping Li, Hua Key Lab. of Machine Perception and Intelligent MOE Beijing 100871 China HCI and Multimedia Lab. Dept. of Computer Science Peking University Beijing 100871 China National Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

A novel Weighted Graph Partitioning Active Contours method based on weighted dissimilarity is introduced. This method is easy to be extended by defining different types of similarities. And it has been greatly acceler... 详细信息

ISBN: (纸本)9781424465149

关键词： Image segmentation

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