A subspace symbolization approach to content-based video search

Zhou, X, Zhou, X, Bouguettaya, A and Taylor, J 2009, 'A subspace symbolization approach to content-based video search', in Proceedings - International Conference on Data Engineering 2009, Shanghai, 29 March - 2 April 2009, pp. 1191-1194.


Document type: Conference Paper
Collection: Conference Papers

Title A subspace symbolization approach to content-based video search
Author(s) Zhou, X
Zhou, X
Bouguettaya, A
Taylor, J
Year 2009
Conference name 25th IEEE International Conference on Data Engineering, ICDE 2009
Conference location Shanghai
Conference dates 29 March - 2 April 2009
Proceedings title Proceedings - International Conference on Data Engineering 2009
Publisher IEEE
Place of publication United States of America
Start page 1191
End page 1194
Total pages 4
Abstract We propose a subspace symbolization approach, namely SUDS, for content-based search on very large video databases. The novelty of SUDS is that it explores the data distribution in subspaces to build a visual dictionary. With this dictionary, the video data are processed using string matching techniques with two-step data simplification. A compact video representation model is developed by transforming each keyframe into a word that is a series of symbols in the dominant subspaces. Then, we present an innovative similarity measure called ED, which draws from the concept of the edit distance on strings to conduct video matching. The experimental results demonstrate the high effectiveness of SUDS with optimal parameters.
Subjects Information Systems not elsewhere classified
DOI - identifier 10.1109/ICDE.2009.198
Copyright notice © 2009 IEEE
ISSN 1084-4627
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