Image indexing using a texture dictionary

W. Y. Ma and B. S. Manjunath
Department of Electrical and Computer Engineering
University of California at Santa Barbara, Santa Barbara, CA 93106

Abstract

We propose a new method for indexing large image databases. The method incorporates neural network learning algorithms and pattern recognition techniques to construct an image pattern dictionary. Image retrieval is then formulated as a process of dictionary search to compute the best matching code-word, which in turn indexes into the database items. Experimental results are presented.
[PDF] [BibTex]
W. Y. Ma and B. S. Manjunath,
SPIE conference on Image Storage and Archiving System, vol. 2606, pp. 288-298, Philadelphia, Pennsylvania, Oct. 1995.
Node ID: 223 , DB ID: 17 , VRLID: 26 , Lab: VRL , Target: Proceedings
Subject: [Image Texture] « Look up more