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  • As the number of digital images is growing fast and Content-based Image Retrieval (CBIR) is gaining in popularity, CBIR systems should leap towards Web-scale datasets. 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. The first big challenge we have been facing was obtaining a collection of images of this scale with the corresponding descriptive features. We have tackled the non-trivial process of image crawling and extraction of several MPEG-7 descriptors. The result of this effort is a test collection, the first of such scale, opened to the research community for experiments and comparisons. The second challenge was to develop indexing and searching mechanisms able to scale to the target size and to answer similarity queries in real-time. We have achieved this goal by creating sophisticated centralized and distributed structures based purely on the metric space model of data.
  • As the number of digital images is growing fast and Content-based Image Retrieval (CBIR) is gaining in popularity, CBIR systems should leap towards Web-scale datasets. 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. The first big challenge we have been facing was obtaining a collection of images of this scale with the corresponding descriptive features. We have tackled the non-trivial process of image crawling and extraction of several MPEG-7 descriptors. The result of this effort is a test collection, the first of such scale, opened to the research community for experiments and comparisons. The second challenge was to develop indexing and searching mechanisms able to scale to the target size and to answer similarity queries in real-time. We have achieved this goal by creating sophisticated centralized and distributed structures based purely on the metric space model of data. (en)
Title
  • Building a Web-scale Image Similarity Search System
  • Building a Web-scale Image Similarity Search System (en)
skos:prefLabel
  • Building a Web-scale Image Similarity Search System
  • Building a Web-scale Image Similarity Search System (en)
skos:notation
  • RIV/00216224:14330/10:00042682!RIV11-GA0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0545), P(GA201/09/0683), P(GD102/09/H042), P(GP201/08/P507), S
http://linked.open...iv/cisloPeriodika
  • 3
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
  • 249361
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/10:00042682
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...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [4CB6BADB7436]
http://linked.open...i/riv/nazevZdroje
  • Multimedia Tools and Applications
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...v/svazekPeriodika
  • 47
http://linked.open...iv/tvurceVysledku
  • Novák, David
  • Sedmidubský, Jan
  • Batko, Michal
  • Zezula, Pavel
  • Falchi, Fabrizio
  • Lucchese, Claudio
  • Perego, Raffaele
  • Rabitti, Fausto
issn
  • 1380-7501
number of pages
http://localhost/t...ganizacniJednotka
  • 14330
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