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@inproceedings{992901,
author = {Budíková, Petra and Batko, Michal and Zezula, Pavel},
address = {Istanbul},
booktitle = {Proceedings of the International Workshop on Multimedia Databases and Data Engineering},
editor = {Shu-Ching Chen, Mei-Ling Shyu, Chengcui Zhang, Tansel Ozyer},
keywords = {multi-modal search; text retrieval; content-based retrieval; multimedia},
howpublished = {paměťový nosič},
language = {eng},
location = {Istanbul},
isbn = {988-8889-99-0},
pages = {1-7},
publisher = {VLDB Endowment},
title = {Multi-modal image search for large-scale applications},
year = {2012}
}
TY - JOUR
ID - 992901
AU - Budíková, Petra - Batko, Michal - Zezula, Pavel
PY - 2012
TI - Multi-modal image search for large-scale applications
PB - VLDB Endowment
CY - Istanbul
SN - 9888889990
KW - multi-modal search
KW - text retrieval
KW - content-based retrieval
KW - multimedia
N2 - One of the major challenges of data processing is the efficient multi-modal searching in large collections of complex data objects. In this paper, we present first results of a complex study that focuses on a comparison of various image retrieval methods in terms of effectiveness, efficiency, and scalability. We introduce a classification of possible approaches, outline the methodology used for evaluation, and present results of our first experiments.
ER -
BUDÍKOVÁ, Petra, Michal BATKO and Pavel ZEZULA. Multi-modal image search for large-scale applications. In Shu-Ching Chen, Mei-Ling Shyu, Chengcui Zhang, Tansel Ozyer. \textit{Proceedings of the International Workshop on Multimedia Databases and Data Engineering}. Istanbul: VLDB Endowment. p.~1-7. ISBN~988-8889-99-0. 2012.
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