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|Title:||An integrated system for content-based video retrieval and browsing||Authors:||Zhang, H.J.
|Issue Date:||Apr-1997||Citation:||Zhang, H.J.,Wu, J.,Zhong, D.,Smoliar, S.W. (1997-04). An integrated system for content-based video retrieval and browsing. Pattern Recognition 30 (4) : 643-658. ScholarBank@NUS Repository.||Abstract:||This paper presents an integrated system solution for computer assisted video parsing and content-based video retrieval and browsing. The effectiveness of this solution lies in its use of video content information derived from a parsing process, being driven by visual feature analysis. That is, parsing will temporally segment and abstract a video source, based on low-level image analyses; then retrieval and browsing of video will be based on key-frame, temporal and motion features of shots. These processes and a set of tools to facilitate content-based video retrieval and browsing using the feature data set are presented in detail as functions of an integrated system. © 1997 Pattern Recognition Society. Published by Elsevier Science Ltd.||Source Title:||Pattern Recognition||URI:||http://scholarbank.nus.edu.sg/handle/10635/111138||ISSN:||00313203|
|Appears in Collections:||Staff Publications|
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