VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Visual information retrieval from large distributed online repositories
Communications of the ACM
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
iFind—a system for semantics and feature based image retrieval over Internet
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Web mining for web image retrieval
Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining
The Evolution of the Web and Implications for an Incremental Crawler
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
WebSeer: An Image Search Engine for the World Wide Web
WebSeer: An Image Search Engine for the World Wide Web
Image Retrieval Using Multiple Evidence Ranking
IEEE Transactions on Knowledge and Data Engineering
Image retrieval method based on entropy and fractal coding
WSEAS TRANSACTIONS on SYSTEMS
Semantic annotation of images and videos for multimedia analysis
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
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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.