@article{li2005fast,
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 eifectiveness of the proposed approach. {\textcopyright} IEE, 2005.},
author = {Li, Z. and Katsaggelos, A.K. and Gandhi, B.},
doi = {10.1049/ip-vis:20045083},
issn = {1350245X},
journal = {IEE Proceedings - Vision, Image, and Signal Processing},
number = {3},
pages = {367},
publisher = {IET Digital Library},
title = {{Fast video shot retrieval based on trace geometry matching}},
url = {https://digital-library.theiet.org/content/journals/10.1049/ip-vis_20045083},
volume = {152},
year = {2005}
}

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