Title :
Image retrieval system for Web: Webscope-CBIR
Author :
Yi, Wu ; Yue-Ting, Zhuang ; Yun-He, Pan
Author_Institution :
Inst. of AI, Zhejiang Univ., China
Abstract :
With the widespread usage of images on Web, the retrieval need for images has been increasing rapidly. But traditional text retrieval system is not fit for the application of image retrieval. We therefore designed Webscope-CBIR, an image retrieval system for the Web, which utilizes content based retrieval to find similar images by comparing visual features. It also uses HTML file and the procedure of relevance feedback to dynamically extract image semantics. The Webscope-CBIR system integrates visual and semantic features of images to improve the preciseness of retrieval
Keywords :
content-based retrieval; information resources; relevance feedback; search engines; HTML file; Webscope-CBIR; World Wide Web; content based retrieval; image retrieval system; image semantics; relevance feedback; retrieval need; semantic features; similar images; visual features; Content based retrieval; Data mining; Feature extraction; Feedback; HTML; Image analysis; Image retrieval; Information analysis; Uniform resource locators; World Wide Web;
Conference_Titel :
Database and Expert Systems Applications, 2000. Proceedings. 11th International Workshop on
Conference_Location :
London
Print_ISBN :
0-7695-0680-1
DOI :
10.1109/DEXA.2000.875089
