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@inproceedings{1346419,
author = {Antol, Matej and Dohnal, Vlastislav},
address = {Cham},
booktitle = {Advances in Databases and Information Systems, 20th East European Conference, ADBIS 2016},
doi = {http://dx.doi.org/10.1007/978-3-319-44039-2_5},
editor = {Lecture Notes in Computer Science},
keywords = {similarity search;nearest-neighbors query;metric space;inverted cache;query optimization},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Cham},
isbn = {978-3-319-44038-5},
pages = {60-73},
publisher = {Springer},
title = {Optimizing Query Performance with Inverted Cache in Metric Spaces},
url = {http://link.springer.com/chapter/10.1007/978-3-319-44039-2_5},
year = {2016}
}
TY - JOUR
ID - 1346419
AU - Antol, Matej - Dohnal, Vlastislav
PY - 2016
TI - Optimizing Query Performance with Inverted Cache in Metric Spaces
PB - Springer
CY - Cham
SN - 9783319440385
KW - similarity search;nearest-neighbors query;metric space;inverted cache;query optimization
UR - http://link.springer.com/chapter/10.1007/978-3-319-44039-2_5
L2 - http://link.springer.com/chapter/10.1007/978-3-319-44039-2_5
N2 - Similarity searching has become widely available in many on-line archives of multimedia content. Querying such systems starts with either a query object provided by user or a random object provided by the system, and proceeds in more iterations to improve user's satisfaction with query results. This leads to processing many very similar queries by the system. In this paper, we analyze performance of two representatives of metric indexing structures and propose a novel concept of reordering search queue that optimizes access to data partitions for repetitive queries. This concept is verified in numerous experiments on real-life image dataset.
ER -
ANTOL, Matej and Vlastislav DOHNAL. Optimizing Query Performance with Inverted Cache in Metric Spaces. In Lecture Notes in Computer Science. \textit{Advances in Databases and Information Systems, 20th East European Conference, ADBIS 2016}. Cham: Springer, 2016, p.~60-73. ISBN~978-3-319-44038-5. Available from: https://dx.doi.org/10.1007/978-3-319-44039-2\_{}5.
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