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@inproceedings{899093, author = {Zavřel, Vojtěch and Batko, Michal and Zezula, Pavel}, address = {New York}, booktitle = {3rd International Conference on Similarity Search and Applications}, keywords = {video retrieval system; content-based searching; metric space; Multi-feature Indexing Network}, howpublished = {tištěná verze "print"}, language = {eng}, location = {New York}, isbn = {978-1-4503-0420-7}, pages = {125-126}, publisher = {ACM Press}, title = {Visual Video Retrieval System Using MPEG-7 Descriptors}, year = {2010} }
TY - JOUR ID - 899093 AU - Zavřel, Vojtěch - Batko, Michal - Zezula, Pavel PY - 2010 TI - Visual Video Retrieval System Using MPEG-7 Descriptors PB - ACM Press CY - New York SN - 9781450304207 KW - video retrieval system KW - content-based searching KW - metric space KW - Multi-feature Indexing Network N2 - Visual Video Retrieval System allows users search according visual similarity in a collection of indexed videos. The system is build upon Multi Feature Indexing Network. Only the visual part of multimedia video (represented by keyframes) is indexed. User is able to search by example or use iterative search. ER -
ZAVŘEL, Vojtěch, Michal BATKO and Pavel ZEZULA. Visual Video Retrieval System Using MPEG-7 Descriptors. In \textit{3rd International Conference on Similarity Search and Applications}. New York: ACM Press, 2010, p.~125-126. ISBN~978-1-4503-0420-7.
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