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Fast image retrieval using hierarchical binary signatures
Univ. de Reims-Champagne-Ardenne, IUT Troyes, CReSTIC, France.ORCID-id: 0000-0002-9999-9197
Univ. de Bourgogne, IUT Le Creusot, Le2i, France.
2007 (Engelska)Ingår i: 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings, IEEE, 2007Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

This article describes a content-based indexing and retrieval (CBIR) system based on hierarchical binary signatures. Binary signatures are obtained through a described binarization process of classical features (color, texture and shape). The Hamming binary distance (based on binary XOR operation) is used during retrieval. This technique was tested on a real image collection containing 7200 images and on a virtual collection of one million images. Results are very good both in terms of speed and accuracy allowing real-time image retrieval in very large image collections.

Ort, förlag, år, upplaga, sidor
IEEE, 2007.
Nyckelord [en]
Computer networks, Image enhancement, Information retrieval, Signal processing, Image collections, International symposium, Image retrieval
Nationell ämneskategori
Signalbehandling
Identifikatorer
URN: urn:nbn:se:hj:diva-60444DOI: 10.1109/ISSPA.2007.4555472Scopus ID: 2-s2.0-51549085096ISBN: 9781424407781 (tryckt)ISBN: 9781424407798 (digital)OAI: oai:DiVA.org:hj-60444DiVA, id: diva2:1759250
Konferens
2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, 12-15 February 2007, Sharjah, United Arab Emirates
Tillgänglig från: 2023-05-25 Skapad: 2023-05-25 Senast uppdaterad: 2023-05-25Bibliografiskt granskad

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Landré, Jérôme

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