Grouping web image search result

  • Authors:
  • Xin-Jing Wang;Wei-Ying Ma;Qi-Cai He;Xing Li

  • Affiliations:
  • Microsoft Research Asia and Tsinghua University, China;Microsoft Research Asia;Microsoft Research Asia and School of Mathematical Sciences, China;Tsinghua University, China

  • Venue:
  • Proceedings of the 12th annual ACM international conference on Multimedia
  • Year:
  • 2004

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Abstract

In this paper, we propose a Web image search result organizing method to facilitate user browsing. We formalize this problem as a salient image region pattern extraction problem. Given the images returned by Web search engine, we first segment the images into homogeneous regions and quantize the environmental regions into image codewords. The salient codeword "phrases" are then extracted and ranked based on a regression model learned from human labeled training data. According to the salient "phrases", images are assigned to different clusters, with the one nearest to the centroid as the entry for the corresponding cluster. Satisfying experimental results show the effectiveness of our proposed method.