Number of the records: 1

Query by Pictorial Example

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