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2008 IEEE 24th International Conference on Data Engineering (2008)
Cancun, Mexico
Apr. 7, 2008 to Apr. 12, 2008
ISBN: 978-1-4244-1836-7
pp: 1612-1615
Mei Wang , Department of Computing and Information Technology, Fudan University, Shanghai, China. 051021052@fudan.edu.cn, 061021054@fudan.edu.cn, 062021111@fudan.edu.cn
Hongtao Xu , Department of Computing and Information Technology, Fudan University, Shanghai, China. 061021054@fudan.edu.cn, 051021052@fudan.edu.cn, 062021111@fudan.edu.cn
Guoyu Hao , Department of Computing and Information Technology, Fudan University, Shanghai, China. 062021111@fudan.edu.cn, 051021052@fudan.edu.cn, 061021054@fudan.edu.cn
Xiangdong Zhou , Department of Computing and Information Technology, Fudan University, Shanghai, China; Department of Computer Science, National University of Singapore. xdzhou@fudan.edu.cn, 051021
Wei Wang , Department of Computing and Information Technology, Fudan University, Shanghai, China. weiwang1@fudan.edu.cn, 051021052@fudan.edu.cn, 061021054@fudan.edu.cn, 062021111@fudan.edu.cn
Qi Zhang , University of North Carolina at Chapel Hill, USA. zhangq@mail.unc.edu
Baile Shi , Department of Computing and Information Technology, Fudan University, Shanghai, China. bish@fudan.edu.cn, 051021052@fudan.edu.cn, 061021054@fudan.edu.cn, 062021111@fudan.edu.cn
ABSTRACT
Search engine technology plays an important role in Web information retrieval. However, with Internet information explosion, traditional searching techniques cannot provide satisfactory result due to problems such as huge number of result Web pages, unintuitive ranking, etc. Therefore, the reorganization and post-processing of Web search results have been extensively studied to help user effectively obtain useful information. Previous studies mainly focused on Web page clustering, document summary, visualization of search results, etc, which are applied separately to either text or image search. In this paper, we propose a demo to illustrate a new Web search result summary system - PictureBook, which combines text and image retrieval using techniques of multiple document summarization and image semantics analysis. Particularly, audience can interactively investigate the effect of the combined text and image summary in Web information searching and knowledge acquisition. We also introduce our new image semantic analysis method based on generalized discriminant analysis(GDA).
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CITATION

Q. Zhang et al., "PictureBook: A Text-and-Image Summary System for Web Search Result," 2008 IEEE 24th International Conference on Data Engineering(ICDE), Cancun, Mexico, 2008, pp. 1612-1615.
doi:10.1109/ICDE.2008.4497634
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