An approach to efficient storage retrieval and browsing of large scale image databases
Norbert Strobel, Sanjit K. Mitra and B. S. Manjunath
Department of Electrical and Computer Engineering
University of California at Santa Barbara, Santa Barbara, CA 93106
Department of Electrical and Computer Engineering
University of California at Santa Barbara, Santa Barbara, CA 93106
Abstract
This paper suggests a wavelet transform based multiresolution approach as a viable solution to the problems of storage, retrieval and browsing in a large image database. We also investigate the performance of an optimal uniform mean square quantizer in representing all transform coefficients to ensure that the disk space necessary for storing a multiresolution representation does not exceed that of the original image. In addition, popular wavelet filters are compared with respect to their reconstruction performance and computational complexity. We conclude that for our application, the Haar wavelet filters offer an appropriate compromise between reconstruction performance and computational efforts.
SPIE conference on Image Storage and Archiving System, vol. 2606, pp. 324-335, Philadelphia, Pennsylvania, Oct. 1995.
Node ID: 232 ,
DB ID: 26 ,
VRLID: 27 ,
Lab: VRL ,
Target: Proceedings
Subject: [Managing Multimedia Databases] « Look up more