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      • Department of Computer Engineering
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      Person search made easy

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      Author
      İkizler, Nazlı
      Duygulu, Pınar
      Date
      2005
      Source Title
      Image and Video Retrieval
      Print ISSN
      0302-9743
      Publisher
      Springer, Berlin, Heidelberg
      Volume
      3568
      Pages
      578 - 588
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      In this study, we present a method to extensively reduce the number of retrieved images and increase the retrieval performance for the person queries on the broadcast news videos. A multi-modal approach which integrates face and text information is proposed. A state-of-the-art face detection algorithm is improved using a skin color based method to eliminate the false alarms. This pruned set is clustered to group the similar faces and representative faces are selected from each cluster to be provided to the user. For six person queries of TRECVID2004, on the average, the retrieval rate is increased from 8% to around 50%, and the number of images that the user has to inspect are reduced from hundreds and thousands to tens. © Springer-Verlag Berlin Heidelberg 2005.
      Keywords
      Algorithms
      Color image processing
      Face recognition
      Information analysis
      Skin
      Television broadcasting
      Face detection algorithm
      Multi-modal approach
      Skin color
      Video broadcasting
      Image retrieval
      Permalink
      http://hdl.handle.net/11693/27376
      Published Version (Please cite this version)
      https://doi.org/10.1007/11526346_61
      https://doi.org/10.1007/11526346
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      • Department of Computer Engineering 1368
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