Počet záznamů: 1

Content-Based Tile Retrieval System

  1. 1.
    0346558 - UTIA-B 2011 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
    Vácha, Pavel - Haindl, Michal
    Content-Based Tile Retrieval System.
    Structural, Syntactic, and Statistical Pattern Recognition. Berlin / Heidelberg: Springer Berlin / Heidelberg, 2010 - (Hancock, Edwin and Wilson, Richard and Windeatt, Terry and Ulusoy, Ilkay and Escolano, Francisco), s. 434-443. LNCS, 6218. ISBN 978-3-642-14979-5. ISSN 0302-9743.
    [Structural, Syntactic, and Statistical Pattern Recognition. Cesme, Izmir (TR), 18.08.2010-20.08.2010]
    Grant CEP: GA MŠk 1M0572; GA ČR GA102/08/0593
    Grant ostatní: GA MŠk(CZ) 2C06019
    Výzkumný záměr: CEZ:AV0Z10750506
    Klíčová slova: content based image retrieval * textural features * colour * tile classification
    Kód oboru RIV: BD - Teorie informace
    http://library.utia.cas.cz/separaty/2010/RO/vacha-content-based tile retrieval system.pdf http://library.utia.cas.cz/separaty/2010/RO/vacha-content-based tile retrieval system.pdf

    A content-based tile retrieval system based on the underlying multispectral Markov random field representation is introduced. Single tiles are represented by our approved textural features derived from especially efficient Markovian statistics and supplemented with Local Binary Patterns (LBP) features representing occasional tile inhomogeneities. Markovian features are on top of that also invariant to illumination colour and robust to illumination direction variations, therefore an arbitrary illuminated tiles do not negatively influence the retrieval result. The presented computer-aided tile consulting system retrieves tiles from recent tile production digital catalogues, so that the retrieved tiles have as similar pattern and/or colours to a query tile as possible. The system is verified on a large commercial tile database in a psychovisual experiment.
    Trvalý link: http://hdl.handle.net/11104/0187559