Using Browsing to Improve Content-Based Image Retrieval

✍ Scribed by Jesse S. Jin; Ruth Kurniawati; Guangyu Xu; Xuesheng Bai

• Publisher: Elsevier Science
• Year: 2001
• Tongue: English
• Weight: 357 KB
• Volume: 12
• Category: Article
• ISSN: 1047-3203
• DOI: 10.1006/jvci.2000.0453

✦ Synopsis

Content-based image retrieval heavily relies on the indexing structure. Current index structures, such as the R-tree, the SS-tree and the X-tree, have a large overlapping area among their nodes, especially at the high (parent) levels of the indexing tree. The overlapping area causes the search engine to examine a large number of nodes and hence it is very inefficient to retrieve at very high levels of the index tree. We develop the SS + -tree to alleviate the overlapping problem and present a scheme to combine browsing with retrieval in searching for images. Browsing provides a visual tool for a user to quickly narrow the search to a small region and to avoid a large number of high dimensional comparisons. Combined with retrieval, it produces a very efficient content-based retrieval method.