A broadcast model for web image annotation

Authors:
Jia Li;Ting Liu;Weiqiang Wang;Wen Gao
Affiliations:
Institute of Computing Technology, CAS, Beijing, China;Institute of Computing Technology, CAS, Beijing, China;Institute of Computing Technology, CAS, Beijing, China;Institute of Computing Technology, CAS, Beijing, China
Venue:
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Year:
2006

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Abstract

Automatic annotation of Web image has great potential in improving the performance of web image retrieval. This paper presents a Broadcast Model (BM) for Web image annotation. In this model, pages are divided into blocks and the annotation of image is realized through the interaction of information from blocks and relevant web pages. Broadcast means each block will receive information (just like signals) from relevant web pages and modify its feature vector according to this information. Compared with most existing image annotation systems, the proposed algorithm utilizes the associated information not only from the page where images locate, but also from other related pages. Based on generated annotations, a retrieval application is implemented to evaluate the proposed annotation algorithm. The preliminary experimental result shows that this model is effective for the annotation of web image and will reduce the number of the result images and the time cost in the retrieval.