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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F08%3A00024250%21RIV10-GA0-14330___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
In this paper, we report on our experience in building an experimental similarity search system on a test collection of more than 50 million images, to show the possibility to scale Content-based Image Retrieval (CBIR) systems towards the Web size. First, we had to tackle the non-trivial process of image crawling and descriptive feature extraction, performed by using the European EGEE computer GRID, building a test collection, the first of such scale, that will be opened to the research community for experiments and comparisons. Then, we had to develop indexing and searching mechanisms which can scale up to these volumes and answer similarity queries in real-time. The results of our experiments are very encouraging for future applications. In this paper, we report on our experience in building an experimental similarity search system on a test collection of more than 50 million images, to show the possibility to scale Content-based Image Retrieval (CBIR) systems towards the Web size. First, we had to tackle the non-trivial process of image crawling and descriptive feature extraction, performed by using the European EGEE computer GRID, building a test collection, the first of such scale, that will be opened to the research community for experiments and comparisons. Then, we had to develop indexing and searching mechanisms which can scale up to these volumes and answer similarity queries in real-time. The results of our experiments are very encouraging for future applications.
dcterms:title
Crawling, Indexing, and Similarity Searching Images on the Web Crawling, Indexing, and Similarity Searching Images on the Web
skos:prefLabel
Crawling, Indexing, and Similarity Searching Images on the Web Crawling, Indexing, and Similarity Searching Images on the Web
skos:notation
RIV/00216224:14330/08:00024250!RIV10-GA0-14330___
n3:aktivita
n14:P
n3:aktivity
P(1ET100300419), P(GD102/05/H050), P(GP201/08/P507)
n3:dodaniDat
n19:2010
n3:domaciTvurceVysledku
n13:5763835 n13:8876398 n13:3165647 n13:3445771
n3:druhVysledku
n6:D
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
361513
n3:idVysledku
RIV/00216224:14330/08:00024250
n3:jazykVysledku
n4:eng
n3:klicovaSlova
similarity search; content-based image retrieval; metric space; MPEG-7 descriptors; peer-to-peer search network
n3:klicoveSlovo
n7:content-based%20image%20retrieval n7:metric%20space n7:MPEG-7%20descriptors n7:similarity%20search n7:peer-to-peer%20search%20network
n3:kontrolniKodProRIV
[D5DCFDC184B6]
n3:mistoKonaniAkce
Mondello
n3:mistoVydani
Mondello
n3:nazevZdroje
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems
n3:obor
n18:IN
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
8
n3:projekt
n15:GD102%2F05%2FH050 n15:GP201%2F08%2FP507 n15:1ET100300419
n3:rokUplatneniVysledku
n19:2008
n3:tvurceVysledku
Zezula, Pavel Lucchese, Claudio Batko, Michal Perego, Raffaele Falchi, Fabrizio Sedmidubský, Jan Rabitti, Fausto Novák, David
n3:typAkce
n5:WRD
n3:zahajeniAkce
2008-06-22+02:00
s:numberOfPages
8
n21:hasPublisher
Salvatore Gaglio, Ignazio Infantino, Domenico Sacca
n20:isbn
978-88-6122-154-3
n10:organizacniJednotka
14330