A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2003; you can also visit the original URL.
The file type is
Proceedings of the 2001 ACM workshops on Multimedia multimedia information retrieval - MULTIMEDIA '01
Content-based image retrieval using region segmentation has been an active research area in the past few years. Contrasting to traditional approaches, which compute only global features of images, the region-based methods extract features of the segmented regions and perform similarity comparisons at the granularity of region. In this paper, we propose a novel regionbased retrieval method, Self-Learned Region Importance (SLRI). In this method, image similarity measure is based on the regiondoi:10.1145/500942.500943 fatcat:e4y3b2mskjavbpw26bgoccufsi