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Adaptive Subspace Symbolization for Content-Based Video Detection

Zhou, Xiangmin; Zhou, Xiaofang; Chen, Lei; Shu, Yangeng; Bouguettaya, Athman; Taylor, John A.

Description

Efficiently and effectively identifying similar videos is an important and nontrivial problem in content-based video retrieval. This paper proposes a subspace symbolization approach, namely SUDS, for content-based retrieval on very large video databases.

CollectionsANU Research Publications
Date published: 2010
Type: Journal article
URI: http://hdl.handle.net/1885/55959
Source: IEEE Transactions on Knowledge and Data Engineering
DOI: 10.1109/TKDE.2009.171

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