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Enhancing the MST-CSS representation using robust geometric features, for efficient Content Based Video Retrieval (CBVR)
Published in
Pages: 352 - 355
Multi-Spectro-Temporal Curvature Scale Space (MST-CSS) had been proposed as a video content descriptor in an earlier work, where the peak and saddle points were used for feature points. But these are inadequate to capture the salient features of the MST-CSS surface, producing poor retrieval results. To overcome these, we propose EMST-CSS (Enhanced MST-CSS) as a better feature representation with an improved matching method for CBVR (Content Based Video Retrieval). Comparative study with the existing MST-CSS representation and two state-of-the-art methods for CBVR shows enhanced performance on one synthetic and two real-world datasets. © 2012 IEEE.
About the journal
JournalProceedings - 2012 IEEE International Symposium on Multimedia, ISM 2012