Video shot segmentation using singular value decomposition

Authors:
Z. Cernekova;C. Kotropoulos;I. Pitas
Affiliations:
Dept. of Informatics, Aristotelian Univ. of Thessaloniki, Greece;Dept. of Informatics, Aristotelian Univ. of Thessaloniki, Greece;Dept. of Informatics, Aristotelian Univ. of Thessaloniki, Greece
Venue:
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Year:
2003

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Abstract

A new method for detecting shot boundaries in video sequences using singular value decomposition (SVD) is proposed. The method relies on performing singular value decomposition on the matrix A created from 3D histograms of single frames. We have used SVD for its capabilities to derive a low dimensional refined feature space from a high dimensional raw feature space, where pattern similarity can easily be detected. The method can detect cuts and gradual transitions, such as dissolves and fades, which cannot be detected easily by entropy measures.