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Pattern Recognition, International Conference on (2000)
Barcelona, Spain
Sept. 3, 2000 to Sept. 8, 2000
ISBN: 0-7695-0750-6
pp: 4275
Peter Meer , Rutgers University
Bogdan Georgescu , Rutgers University
Dorin Comaniciu , Siemens Corporate Research
Kun Xu , Rutgers University
ABSTRACT
The features employed in content-based retrieval are most often simple low-level representations, while a human observer judges similarity between images based on high-level semantic properties. Using textures as an example, we show that a more accurate description of the underlying distribution of low-level features does not improve the retrieval performance. We also introduce the simplified multiresolution symmetric autoregressive model for textures, and the Bhattacharyya distance based similarity measure. Experiments are performed with four texture representations and four similarity measures over the Brodatz and VisTex databases.
INDEX TERMS
content-based retrieval, texture description, similarity measure
CITATION
Peter Meer, Bogdan Georgescu, Dorin Comaniciu, Kun Xu, "Performance Analysis in Content-Based Retrieval with Textures", Pattern Recognition, International Conference on, vol. 04, no. , pp. 4275, 2000, doi:10.1109/ICPR.2000.902912
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