Title :
Can texture and image content retrieval methods match human perception?
Author :
Payne, Janet S. ; Stonbam, T.J.
Author_Institution :
Dept. of Comput., Buckinghamshire Chilterns Univ. Coll., High Wycombe, UK
Abstract :
Texture is widely used in content based image retrieval (CBIR), and there have been a number of studies over the years to establish which features are perceptually significant. However, it is still difficult to retrieve reliably images that the human user would agree are “similar”. Different studies tend to use different image databases, but the Brodatz textures are widely recognised, and form a standard test set. This paper outlines a number of performance measures, and uses the results from a human study to classify textures from the Brodatz textures dataset to define “relevance” and hence compute correlation between each technique and the perceptually derived ranking. Our results how that in general image content-based retrieval methods do not match human perception well
Keywords :
content-based retrieval; image retrieval; image texture; visual databases; Brodatz textures; content based image retrieval; human perception; image databases; Content based retrieval; Educational institutions; Frequency; Humans; Image databases; Image recognition; Image retrieval; Labeling; Shape; Testing;
Conference_Titel :
Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on
Conference_Location :
Hong Kong
Print_ISBN :
962-85766-2-3
DOI :
10.1109/ISIMP.2001.925355