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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F12%3A00057558%21RIV13-GA0-14330___
rdf:type
n7:Vysledek skos:Concept
rdfs:seeAlso
http://www.springerlink.com/content/g61n208277656084/
dcterms:description
The success of content-based retrieval systems stands or falls with the quality of the utilized similarity model. In the case of having no additional keywords or annotations provided with the multimedia data, the hard task is to guarantee the highest possible retrieval precision using only content-based retrieval techniques. In this paper we push the visual image search a step further by testing effective combination of two orthogonal approaches – the MPEG-7 global visual descriptors and the feature signatures equipped by the Signature Quadratic Form Distance. We investigate various ways of descriptor combinations and evaluate the overall effectiveness of the search on three different image collections. Moreover, we introduce a new image collection, TWIC, designed as a larger realistic image collection providing ground truth. In all the experiments, the combination of descriptors proved its superior performance on all tested collections. The success of content-based retrieval systems stands or falls with the quality of the utilized similarity model. In the case of having no additional keywords or annotations provided with the multimedia data, the hard task is to guarantee the highest possible retrieval precision using only content-based retrieval techniques. In this paper we push the visual image search a step further by testing effective combination of two orthogonal approaches – the MPEG-7 global visual descriptors and the feature signatures equipped by the Signature Quadratic Form Distance. We investigate various ways of descriptor combinations and evaluate the overall effectiveness of the search on three different image collections. Moreover, we introduce a new image collection, TWIC, designed as a larger realistic image collection providing ground truth. In all the experiments, the combination of descriptors proved its superior performance on all tested collections.
dcterms:title
Visual Image Search: Feature Signatures or/and Global Descriptors Visual Image Search: Feature Signatures or/and Global Descriptors
skos:prefLabel
Visual Image Search: Feature Signatures or/and Global Descriptors Visual Image Search: Feature Signatures or/and Global Descriptors
skos:notation
RIV/00216224:14330/12:00057558!RIV13-GA0-14330___
n7:predkladatel
n10:orjk%3A14330
n5:aktivita
n6:P
n5:aktivity
P(GAP103/10/0886), P(GPP202/10/P220)
n5:dodaniDat
n9:2013
n5:domaciTvurceVysledku
n19:3445771 n19:8876398
n5:druhVysledku
n13:D
n5:duvernostUdaju
n23:S
n5:entitaPredkladatele
n16:predkladatel
n5:idSjednocenehoVysledku
177562
n5:idVysledku
RIV/00216224:14330/12:00057558
n5:jazykVysledku
n15:eng
n5:klicovaSlova
similarity search; CBIR; global visual descriptors; visual signatures; SQFD
n5:klicoveSlovo
n17:SQFD n17:global%20visual%20descriptors n17:visual%20signatures n17:similarity%20search n17:CBIR
n5:kontrolniKodProRIV
[2BCD9ADEA6E9]
n5:mistoKonaniAkce
Toronto, Canada
n5:mistoVydani
Berlin / Heidelberg
n5:nazevZdroje
Similarity Search and Applications
n5:obor
n18:IN
n5:pocetDomacichTvurcuVysledku
2
n5:pocetTvurcuVysledku
4
n5:projekt
n22:GAP103%2F10%2F0886 n22:GPP202%2F10%2FP220
n5:rokUplatneniVysledku
n9:2012
n5:tvurceVysledku
Skopal, Tomáš Batko, Michal Lokoč, Jakub Novák, David
n5:typAkce
n24:WRD
n5:zahajeniAkce
2012-01-01+01:00
s:issn
0302-9743
s:numberOfPages
15
n4:doi
10.1007/978-3-642-32153-5_13
n11:hasPublisher
Springer-Verlag
n21:isbn
9783642321528
n8:organizacniJednotka
14330