IGroup: a web image search engine with semantic clustering of search results

  • Authors:
  • Feng Jing;Changhu Wang;Yuhuan Yao;Kefeng Deng;Lei Zhang;Wei-Ying Ma

  • Affiliations:
  • Microsoft Research Asia, Beijing, China;University of, Science and Technology of China, Hefei, China;Tsinghua University, Beijing, China;Microsoft Research Asia, Beijing, China;Microsoft Research Asia, Beijing, China;Microsoft Research Asia, Beijing, China

  • Venue:
  • MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
  • Year:
  • 2006

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In this demo, we present IGroup, a Web image search engine that organizes the search results into semantic clusters. Different from all existing Web image search results clustering algorithms that only cluster the top few images using visual or textual features, IGroup first identifies several query-related semantic clusters based on a key phrases extraction algorithm originally proposed for clustering general Web search results. Then, all the resulting images are separated and assigned to corresponding clusters. To make the best use of the clustering results, a new user interface is proposed. Please go to http://igroup.msra.cn for real experience.