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Portrait retrieval based on news environment

WANG Tai-feng,Yuan Ping-bo,JIA Ji-min,Yu Meng-hai   

  1. MOEMS Key Laboratory of Multimedia Calculation and Communication，University of Science and Technology of China,Hefei230027,Anhui ,China
  • Received:2006-04-25 Revised:1900-01-01 Online:2006-10-24 Published:2006-10-24
  • Contact: YU Neng-hai

Abstract: A novel solution for personal portrait search is provided based on the content of news report. Firstly, named entities(NE) and associated keywords were extracted from the news. Then queries formed by NE were issued to general image search to get candidate images. Finally, two steps of filtering were deployed to get the optimal portrait as filtering with keywords associated with the NE to get images actually relevant to the person in the news and face detection to get optimal portrait. Preliminary experiments show that this solution works well on getting portrait for a person in news, and what's more, displaying portraits beside the news content is a very helpful feature to enhance readers' efficiency of news reading and help them focus on interested news much easier.

Key words: face detection , news browsing, personal portrait, image retrieval, information retrieval

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