Optimizing Query Performance with Inverted Cache in Metric Spaces
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F16%3A00087954" target="_blank" >RIV/00216224:14330/16:00087954 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-44039-2_5" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-44039-2_5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-44039-2_5" target="_blank" >10.1007/978-3-319-44039-2_5</a>
Alternative languages
Result language
angličtina
Original language name
Optimizing Query Performance with Inverted Cache in Metric Spaces
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA16-18889S" target="_blank" >GA16-18889S: Big Data Analytics for Unstructured Data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Databases and Information Systems, 20th East European Conference, ADBIS 2016
ISBN
9783319440385
ISSN
0302-9743
e-ISSN
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Number of pages
14
Pages from-to
60-73
Publisher name
Springer
Place of publication
Cham
Event location
Praha
Event date
Jan 1, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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