Image retrieval system for Web: Webscope-CBIR

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.