IntentSearch: interactive on-line image search re-ranking

  • Authors:
  • Jingyu Cui;Fang Wen;Xiaoou Tang

  • Affiliations:
  • Tsinghua University, Beijing, China;Microsoft Research Asia, Beijing, China;The Chinese University of Hong Kong, Hong Kong, China

  • Venue:
  • MM '08 Proceedings of the 16th ACM international conference on Multimedia
  • Year:
  • 2008

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Abstract

In this demo, we present IntentSearch, an interactive system for realtime web based image retrieval. IntentSearch works directly on top of Microsoft Live Image Search, and re-ranks its results according to user specified query image(s) and the automatically inferred user intention. Besides searching in the interface of Microsoft Live Image Search, we also design a more flexible interface to let users browse and play with all the images in the current search session, which makes web image search more efficient and interesting. Please visit http://mmlab.ie.cuhk.edu.hk/intentsearch for the experience.