Hu, W. and Xie, N. and Li, L. and Zeng, X. and Maybank, Stephen J. (2011) A survey on visual content-based video indexing and retrieval. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 41 (6), pp. 797-819. ISSN 1094-6977.Full text not available from this repository.
Video indexing and retrieval have a wide spectrum of promising applications, motivating the interest of researchers worldwide. This paper offers a tutorial and an overview of the landscape of general strategies in visual content-based video indexing and retrieval, focusing on methods for video structure analysis, including shot boundary detection, key frame extraction and scene segmentation, extraction of features including static key frame features, object features and motion features, video data mining, video annotation, video retrieval including query interfaces, similarity measure and relevance feedback, and video browsing. Finally, we analyze future research directions.
|Keyword(s) / Subject(s):||Clustering algorithms, Content based retrieval, Data mining, Feature extraction, Indexing, Visualization|
|School or Research Centre:||Birkbeck Schools and Research Centres > School of Business, Economics & Informatics > Computer Science and Information Systems|
|Date Deposited:||06 Nov 2012 11:22|
|Last Modified:||17 Apr 2013 12:26|
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