Title :
Inertia-based video cut detection and its integration with video coder
Author :
Liu, T.Y. ; Feng, J. ; Zhang, X.D. ; Lo, K.T.
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fDate :
6/20/2003 12:00:00 AM
Abstract :
An encoder-dependent video cut detection algorithm is proposed. Based on the inertia property of natural videos, the proposed algorithm detects video cuts in the video-coding loop by making use of the intermediate results of video compression. Experiments show that the detection performance of the proposed algorithm is quite good as compared to previous works, and when it is integrated with the coder, not only is the content accessibility of the output code stream improved but also the compression ratio is improved. The authors regard this inertia-based algorithm as a step towards the integration of video compression and content-based video retrieval.
Keywords :
data compression; image retrieval; motion compensation; signal detection; video coding; video databases; compression ratio; content-based video retrieval; detection performance; encoder-dependent video cut detection algorithm; inertia-based algorithm; inertia-based video cut detection; motion-compensated video coder; output code stream; video coder; video coding; video compression; video database;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:20030363