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Query by Pictorial Example
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SYSNO ASEP 0359019 Document Type D - Thesis R&D Document Type The record was not marked in the RIV Title Query by Pictorial Example Author(s) Vácha, Pavel (UTIA-B) RID Issue data Praha: MFF UK, 2010 Number of pages 171 s. Language eng - English Country CZ - Czech Republic Keywords texture ; illuminatin invariants ; rotation invariants ; Markov random fields ; content based image retrieval Subject RIV BD - Theory of Information R&D Projects 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) 1ET400750407 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) IAA2075302 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) GA102/08/0593 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation 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. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2012
Number of the records: 1