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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F12%3A10100175%21RIV13-GA0-11320___
rdf:type
n4:Vysledek skos:Concept
rdfs:seeAlso
http://link.springer.com/article/10.1007%2Fs11042-011-0731-3
dcterms:description
An important research issue in multimedia databases is the retrieval of similar objects. For most applications in multimedia databases, an exact search is not meaningful. Thus, much effort has been devoted to develop efficient and effective similarity search techniques. A recent approach that has been shown to improve the effectiveness of similarity search in multimedia databases resorts to the usage of combinations of metrics (i.e., a search on a multi-metric space). In this approach, the desirable contribution (weight) of each metric is chosen at query time. It follows that standard metric indexes cannot be directly used to improve the efficiency of dynamically weighted queries, because they assume that there is only one fixed distance function at indexing and query time. This paper presents a methodology for adapting metric indexes to multi-metric indexes, that is, to support similarity queries with dynamic combinations of metric functions... An important research issue in multimedia databases is the retrieval of similar objects. For most applications in multimedia databases, an exact search is not meaningful. Thus, much effort has been devoted to develop efficient and effective similarity search techniques. A recent approach that has been shown to improve the effectiveness of similarity search in multimedia databases resorts to the usage of combinations of metrics (i.e., a search on a multi-metric space). In this approach, the desirable contribution (weight) of each metric is chosen at query time. It follows that standard metric indexes cannot be directly used to improve the efficiency of dynamically weighted queries, because they assume that there is only one fixed distance function at indexing and query time. This paper presents a methodology for adapting metric indexes to multi-metric indexes, that is, to support similarity queries with dynamic combinations of metric functions...
dcterms:title
Adapting Metric Indexes for Searching in Multi-Metric Spaces Adapting Metric Indexes for Searching in Multi-Metric Spaces
skos:prefLabel
Adapting Metric Indexes for Searching in Multi-Metric Spaces Adapting Metric Indexes for Searching in Multi-Metric Spaces
skos:notation
RIV/00216208:11320/12:10100175!RIV13-GA0-11320___
n4:predkladatel
n5:orjk%3A11320
n6:aktivita
n16:P n16:Z
n6:aktivity
P(GA201/09/0683), Z(MSM0021620838)
n6:cisloPeriodika
3
n6:dodaniDat
n15:2013
n6:domaciTvurceVysledku
n14:5851726
n6:druhVysledku
n12:J
n6:duvernostUdaju
n20:S
n6:entitaPredkladatele
n10:predkladatel
n6:idSjednocenehoVysledku
121031
n6:idVysledku
RIV/00216208:11320/12:10100175
n6:jazykVysledku
n8:eng
n6:klicovaSlova
Spaces; Multi-Metric; Searching; for; Indexes; Metric; Adapting
n6:klicoveSlovo
n7:Searching n7:Metric n7:Indexes n7:Spaces n7:for n7:Adapting n7:Multi-Metric
n6:kodStatuVydavatele
NL - Nizozemsko
n6:kontrolniKodProRIV
[D4310AF0F25E]
n6:nazevZdroje
Multimedia Tools and Applications
n6:obor
n18:IN
n6:pocetDomacichTvurcuVysledku
1
n6:pocetTvurcuVysledku
3
n6:projekt
n9:GA201%2F09%2F0683
n6:rokUplatneniVysledku
n15:2012
n6:svazekPeriodika
58
n6:tvurceVysledku
Skopal, Tomáš Kreft, Sebastian Bustos, Benjamin
n6:wos
000303507900002
n6:zamer
n21:MSM0021620838
s:issn
1380-7501
s:numberOfPages
30
n17:doi
10.1007/s11042-011-0731-3
n22:organizacniJednotka
11320