Title :
Fast video shot retrieval based on trace geometry matching
Author :
Li, Z. ; Katsaggelos, A.K. ; Gandhi, B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Northwestern Univ., IL, USA
fDate :
6/3/2005 12:00:00 AM
Abstract :
Content-based video retrieval technology holds the key to the efficient management and sharing of video content from different sources, in different scales, across different platforms, and over different communication channels. In this work, fast video shot retrieval algorithms, based on the geometry of video sequence traces in the principal component space, are presented. Techniques to address scale (spatial and temporal) issues, in addition to noise and other possible distortions, such as frame dropping, are discussed. Experimental results demonstrate the effectiveness of the proposed approach.
Keywords :
content-based retrieval; multimedia databases; pattern matching; principal component analysis; video databases; video signal processing; PCA; content-based video retrieval; distortions; fast video shot retrieval; frame dropping; spatial scale effects; temporal scale effects; video noise; video sequence trace geometry matching;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:20045083