báo cáo hóa học:" Research Article Adaptive Edge-Oriented Shot Boundary Detection"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Adaptive Edge-Oriented Shot Boundary Detection | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2009 Article ID 859371 13 pages doi 2009 859371 Research Article Adaptive Edge-Oriented Shot Boundary Detection Don Adjeroh 1 M. C. Lee 2 N. Banda 1 and Uma Kandaswamy1 1 Video and Image Processing Laboratory Lane Department of Computer Science and Electrical Engineering West Virginia University Morgantown WV26505 USA 2 Department of Computer Science and Engineering The Chinese University of Hong Kong Shatin NT Hong Kong Correspondence should be addressed to Don Adjeroh don@ Received 20 August 2008 Revised 11 April 2009 Accepted 18 May 2009 Recommended by Alberto Del Bimbo We study the problem of video shot boundary detection using an adaptive edge-oriented framework. Our approach is distinct in its use of multiple multilevel features in the required processing. Adaptation is provided by a careful analysis of these multilevel features based on shot variability. We consider three levels of adaptation at the feature extraction stage using locally-adaptive edge maps at the video sequence level and at the individual shot level. We show how to provide adaptive parameters for the multilevel edge-based approach and how to determine adaptive thresholds for the shot boundaries based on the characteristics of the particular shot being indexed. The result is a fast adaptive scheme that provides a slightly better performance in terms of robustness and a five fold efficiency improvement in shot characterization and classification. The reported work has applications beyond direct video indexing and could be used in real-time applications such as in dynamic monitoring and modeling of video data traffic in multimedia communications and in real-time video surveillance. Experimental results are included. Copyright 2009 Don Adjeroh et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and .

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