Web image retrieval systems with automatic web image annotating techniques

Due to the popularity of digital cameras and web authors' enriching the visual aesthetics, the number of web images is growing in an uncontrolled speed. The images in the World Wide Web are becoming a large image library for browsing. It is an important issue that how to retrieve the images accurately on the World Wide Web. In this paper we describe the architecture of the web image retrieval systems with automatic image annotation techniques. And we propose four methods to generate the annotation automatically for every image from its hosted web page, by analyzing the structural blocks, collecting anchor text of link structures, and gathering shared annotation with other images with the same visual signature.