IntentSearch: interactive on-line image search re-ranking

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.

REFERENCES

• 1: http://www.live.com/~scope=images.
• 2: Jingyu Cui , Fang Wen , Xiaoou Tang, Real time google and live image search re-ranking, Proceeding of the 16th ACM international conference on Multimedia, October 26-31, 2008, Vancouver, British Columbia, Canada [doi>10.1145/1459359.1459471]
• 3: Ritendra Datta , Dhiraj Joshi , Jia Li , James Z. Wang, Image retrieval: Ideas, influences, and trends of the new age, ACM Computing Surveys (CSUR), v.40 n.2, p.1-60, April 2008 [doi>10.1145/1348246.1348248]
• 4: X. S. Zhou and T. S. Huang. Relevance feedback in image retrieval: A comprehensive review. Multimedia Systems, 8(6):536--544, 2003.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)
          Subjects: Graphical user interfaces (GUI)

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Information filtering
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)
          Subjects: Prototyping

General Terms:
Design

Keywords:
image search, intention, visual