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@inproceedings{899276, author = {Homola, Tomáš and Dohnal, Vlastislav and Zezula, Pavel}, address = {Linz}, booktitle = {8th International Workshop on Adaptive Multimedia Retrieval, AMR'2010}, doi = {http://dx.doi.org/10.1007/978-3-642-27169-4_13}, editor = {Marcin Detyniecki, Peter Knees, Andreas Nürnberger, Markus Schedl and Sebastian Stober}, keywords = {proximity based order respecting intersection; sub image search; image database; experimental trials}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Linz}, isbn = {978-3-642-27168-7}, pages = {174-188}, publisher = {Johannes Kepler University}, title = {Proximity-based Order-respecting Intersection for Searching in Image Databases}, year = {2011} }
TY - JOUR ID - 899276 AU - Homola, Tomáš - Dohnal, Vlastislav - Zezula, Pavel PY - 2011 TI - Proximity-based Order-respecting Intersection for Searching in Image Databases PB - Johannes Kepler University CY - Linz SN - 9783642271687 KW - proximity based order respecting intersection KW - sub image search KW - image database KW - experimental trials N2 - As the volume of non-textual data, such images and other multimedia data, available on Internet is increasing. The issue of identifying data items based on query containment rather than query equality is more and more important. In this paper, we propose a solution to this problem. We assume the local descriptors are extracted from data item, so the aforementioned problem reduces to finding data items of a collection that share as many as possible local descriptors with the query. In particular, we defined a new e-intersection that identifies close (similar) descriptors. Local descriptors usually contain the location of the descriptors in the original data, so the proposed solution takes into account them to increase effectiveness of searching. We evaluate the e-intersection on two real-life image collections using SIFT and SURF local descriptors. ER -
HOMOLA, Tomáš, Vlastislav DOHNAL and Pavel ZEZULA. Proximity-based Order-respecting Intersection for Searching in Image Databases. In Marcin Detyniecki, Peter Knees, Andreas Nürnberger, Markus Schedl and Sebastian Stober. \textit{8th International Workshop on Adaptive Multimedia Retrieval, AMR'2010}. Linz: Johannes Kepler University, 2011, p.~174-188. ISBN~978-3-642-27168-7. Available from: https://dx.doi.org/10.1007/978-3-642-27169-4\_{}13.
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