About: Snake Table: A Dynamic Pivot Table for Streams of k-NN Searches

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://link.springer.com/chapter/10.1007/978-3-642-32153-5_3
Description	We present the Snake Table, an index structure designed for supporting streams of k-NN searches within a content-based similarity search framework. The index is created and updated in the online phase while resolving the queries, thus it does not need a preprocessing step. This index is intended to be used when the stream of query objects fits a snake distribution, that is, when the distance between two consecutive query objects is small. In particular, this kind of distribution is present in content-based video retrieval systems, when the set of query objects are consecutive frames from a query video. We show that the Snake Table improves the efficiency of k-NN searches in these systems, avoiding the building of a static index in the offline phase. We present the Snake Table, an index structure designed for supporting streams of k-NN searches within a content-based similarity search framework. The index is created and updated in the online phase while resolving the queries, thus it does not need a preprocessing step. This index is intended to be used when the stream of query objects fits a snake distribution, that is, when the distance between two consecutive query objects is small. In particular, this kind of distribution is present in content-based video retrieval systems, when the set of query objects are consecutive frames from a query video. We show that the Snake Table improves the efficiency of k-NN searches in these systems, avoiding the building of a static index in the offline phase. (en)
Title	Snake Table: A Dynamic Pivot Table for Streams of k-NN Searches Snake Table: A Dynamic Pivot Table for Streams of k-NN Searches (en)
skos:prefLabel	Snake Table: A Dynamic Pivot Table for Streams of k-NN Searches Snake Table: A Dynamic Pivot Table for Streams of k-NN Searches (en)
skos:notation	RIV/00216208:11320/12:10131927!RIV13-GA0-11320___
http://linked.open...avai/predkladatel	Matematicko-fyzikální fakulta
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GAP202/11/0968)
http://linked.open...iv/cisloPeriodika	2012
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Skopal, Tomáš
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	168701
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/12:10131927
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	similarity search; metric indexing; metric access methods (en)
http://linked.open.../riv/klicoveSlovo	similarity search metric indexing metric access methods
http://linked.open...odStatuVydavatele	DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV	[3C4C083FB50A]
http://linked.open...i/riv/nazevZdroje	Lecture Notes in Computer Science
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Large-scale Nonmetric Similarity Search in Complex Domains
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	7404
http://linked.open...iv/tvurceVysledku	Skopal, Tomáš Bustos, Benjamin Barrios, Juan Manuel
issn	0302-9743
number of pages	15 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-32153-5_3
http://localhost/t...ganizacniJednotka	11320
is http://linked.open...avai/riv/vysledek of	Snake Table: A Dynamic Pivot Table for Streams of k-NN Searches

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