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PCA-based approach for video scene change detection on compressed video

Gao, L, Jiang, J, Liang, J, Wang, S, Yang, S and Qin, Y (2006) PCA-based approach for video scene change detection on compressed video Electronics Letters, 42 (24). pp. 1389-1390.

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Abstract

An automatic, real-time detection approach to video scene change detection is presented. Owing to the high correlation of two consecutive video frames, it is proposed that only the eigenvector corresponding to the largest eigenvalue is retained in the principal component analysis (PCA) for video data. A one-dimensional PCA feature of video data is then generated from the PCA. It shows superior performance compared to the histogram feature and the pixel feature. The detection algorithm based on this PCA feature is then designed to detect both abrupt and gradual transitions. The proposed approach is tested on the TREC video test repository to validate its performance. © 2006 The Institution of Engineering and Technology.

Item Type: Article
Authors :
NameEmailORCID
Gao, LUNSPECIFIEDUNSPECIFIED
Jiang, Jjianmin.jiang@surrey.ac.ukUNSPECIFIED
Liang, JUNSPECIFIEDUNSPECIFIED
Wang, SUNSPECIFIEDUNSPECIFIED
Yang, SUNSPECIFIEDUNSPECIFIED
Qin, YUNSPECIFIEDUNSPECIFIED
Date : 6 December 2006
Identification Number : https://doi.org/10.1049/el:20062175
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:24
Last Modified : 17 May 2017 15:03
URI: http://epubs.surrey.ac.uk/id/eprint/835211

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