Adaptive region matching for region-based image retrieval by constructing region importance index

作者：Yang Xiaohui^*; Cai Lijun

来源：IET Computer Vision, 2014, 8(2): 141-151.

DOI：10.1049/iet-cvi.2012.0157

This study deals with the problem of similarity matching in region-based image retrieval (RBIR). A novel visual similarity measurement called adaptive region matching (ARM) has been developed. For decreasing negative influence of interference regions and important information loss simultaneously, a region importance index is constructed and semantic meaningful region (SMR) is introduced. Moreover, ARM automatically performs SMR-to-image matching or image-to-image matching. Extensive experiments on Corel-1000, Caltech-256 and University of Washington (UW) databases demonstrate the authors proposed ARM is more flexible and more efficient than the existing visual similarity measurements that were originally developed for RBIR.

• 出版日期2014-4
• 单位河南大学