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@inproceedings{728312, author = {Novák, David and Batko, Michal and Dohnal, Vlastislav and Zezula, Pavel}, address = {Pisa, Italy}, booktitle = {Second DELOS Conference - Working Notes}, keywords = {similarity search; scalability; MPEG-7; image database}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Pisa, Italy}, isbn = {2-912335-36-1}, pages = {1-10}, publisher = {DELOS Network of Excellence}, title = {Scaling up the Image Content-based Retrieval}, url = {http://www.delos.info}, year = {2007} }
TY - JOUR ID - 728312 AU - Novák, David - Batko, Michal - Dohnal, Vlastislav - Zezula, Pavel PY - 2007 TI - Scaling up the Image Content-based Retrieval PB - DELOS Network of Excellence CY - Pisa, Italy SN - 2912335361 KW - similarity search KW - scalability KW - MPEG-7 KW - image database UR - http://www.delos.info N2 - The data-explosion phenomenon can be observed in two distinct respects: (1) The volume of data produced is increasing rapidly and (2) new data types appear and are widely used. This calls for development of brand new indexing and searching methods which would be efficient on huge amounts of data and respect the needs of the recent data types. This paper describes a transfer of our previous theoretical results into practice by building a fully functional application. The application is able to efficiently manage large collections of digital images and search these images according to their content. Its distributed architecture is based on the peer-to-peer paradigm and the searching method adopts the metric-based approach to similarity. Currently the application can store and search tens of millions of images crawled from the Web with dozens of simultaneous users, although it runs on a limited hardware infrastructure. ER -
NOVÁK, David, Michal BATKO, Vlastislav DOHNAL and Pavel ZEZULA. Scaling up the Image Content-based Retrieval. In \textit{Second DELOS Conference - Working Notes}. Pisa, Italy: DELOS Network of Excellence, 2007, p.~1-10. ISBN~2-912335-36-1.
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