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  • 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. (en)
Title
  • Crawling, Indexing, and Similarity Searching Images on the Web
  • Crawling, Indexing, and Similarity Searching Images on the Web (en)
skos:prefLabel
  • Crawling, Indexing, and Similarity Searching Images on the Web
  • Crawling, Indexing, and Similarity Searching Images on the Web (en)
skos:notation
  • RIV/00216224:14330/08:00024250!RIV10-GA0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET100300419), P(GD102/05/H050), P(GP201/08/P507)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 361513
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/08:00024250
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • similarity search; content-based image retrieval; metric space; MPEG-7 descriptors; peer-to-peer search network (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D5DCFDC184B6]
http://linked.open...v/mistoKonaniAkce
  • Mondello
http://linked.open...i/riv/mistoVydani
  • Mondello
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Novák, David
  • Sedmidubský, Jan
  • Batko, Michal
  • Zezula, Pavel
  • Falchi, Fabrizio
  • Lucchese, Claudio
  • Perego, Raffaele
  • Rabitti, Fausto
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Salvatore Gaglio, Ignazio Infantino, Domenico Sacca
https://schema.org/isbn
  • 978-88-6122-154-3
http://localhost/t...ganizacniJednotka
  • 14330
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