VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Automatic caption localization for photographs on World Wide Web pages
Information Processing and Management: an International Journal
Modern Information Retrieval
Combining Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
WebSeer: An Image Search Engine for the World Wide Web
WebSeer: An Image Search Engine for the World Wide Web
Automatic image annotation and retrieval using subspace clustering algorithm
Proceedings of the 2nd ACM international workshop on Multimedia databases
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
A hierarchical bitmap indexing method for content based multimedia retrieval
IMSA'06 Proceedings of the 24th IASTED international conference on Internet and multimedia systems and applications
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This paper introduces a complete content based web image retrieval system by which images on WWW are automatically collected, searched and browsed using both visual and textual features. To improve the quality of search results and the speed of retrieval, we propose two new algorithms such as a keyword selection algorithm using visual features as well as the layout of web page, and a k-NN search algorithm based on the hierarchical bitmap index [17] using multiple features with dynamically updated weights. Moreover, these algorithms are adjusted for the MPEG-7 visual descriptors [14] that are used to represent the visual features of image in our system. Experimental results of keyword selection and image retrieval show the superiority of proposed algorithms and a couple of visual interfaces of the system are presented to help understanding some retrieval cases.