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Query by Pictorial Example
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SYSNO ASEP 0359019 Druh ASEP D - Dizertace Zařazení RIV Záznam nebyl označen do RIV Název Query by Pictorial Example Tvůrce(i) Vácha, Pavel (UTIA-B) RID Vyd. údaje Praha: MFF UK, 2010 Poč.str. 171 s. Jazyk dok. eng - angličtina Země vyd. CZ - Česká republika Klíč. slova texture ; illuminatin invariants ; rotation invariants ; Markov random fields ; content based image retrieval Vědní obor RIV BD - Teorie informace CEP 1M0572 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy 1ET400750407 GA AV ČR - Akademie věd IAA2075302 GA AV ČR - Akademie věd GA102/08/0593 GA ČR - Grantová agentura ČR CEZ AV0Z10750506 - UTIA-B (2005-2011) Anotace Ongoing expansion of digital images requires new methods for sorting, browsing, andsearching through huge image databases. This is a domain of Content-Based Image Retrieval (CBIR) systems, which are database search engines for images. A user typically submit a query image or series of images and the CBIR system tries to find and to retrieve the most similar images from the database. Optimally, the retrieved images should not be sensitive to circumstances during their acquisition. Unfortunately, the appearance of natural objects and materials is highly illumination and viewpoint dependent. This work focuses on representation and retrieval of homogeneous images, called textures, under the circumstances with variable illumination and texture rotation. We propose a novel illumination invariant textural features based on Markovian modelling of spatial texture relations. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2012
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