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MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Publications
Demonstration of image retrieval based on illumination invariant textural MRF features
Typ:
Conference paper
Proceedings name:
CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval
Publisher:
ACM Press
Serie:
New York
Year:
2007
Pages:
135-137
ISBN:
978-1-59593-733-9
Keywords:
Content-based Image retrieval (CBIR), illumination invariant
Anotation:
Content-based image retrieval (CBIR) systems target database images using feature similarities with respect to the query. Our CBIR demonstration utilises novel illumination invariant features, which are extracted from Markov random field (MRF) based texture representations. These features allow retrieving images with similar scenes comprising colour-textured objects viewed with different illumination brightness or spectrum. The illumination invariant retrieval is verified on textures from the Outex database.