Sept. 3, 2000 to Sept. 8, 2000
Bogdan Georgescu , Rutgers University
Peter Meer , Rutgers University
Kun Xu , Rutgers University
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.
content-based retrieval, texture description, similarity measure
Bogdan Georgescu, Peter Meer, Kun Xu, "Performance Analysis in Content-Based Retrieval with Textures", ICPR, 2000, Pattern Recognition, International Conference on, Pattern Recognition, International Conference on 2000, pp. 4275, doi:10.1109/ICPR.2000.902912