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      Haber videolarında ilgililik geribeslemesiyle içerik tabanlı erişim

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      Author
      Çavuş, Özge
      Aksoy, Selim
      Date
      2006-04
      Source Title
      2006 IEEE 14th Signal Processing and Communications Applications Conference
      Publisher
      IEEE
      Language
      Turkish
      Type
      Conference Paper
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      Abstract
      Content-based retrieval in news video databases has become an important task with the availability of large quantities of data in both public and proprietary archives. We describe a relevance feedback technique that captures the significance of different features at different spatial locations in an image. Spatial content is modeled by partitioning images into non-overlapping grid cells. Contributions of different features at different locations are modeled using weights defined for each feature in each grid cell. These weights are iteratively updated based on user's feedback in terms of positive and negative labeling of retrieval results. Given this labeling, the weight updating scheme uses the ratios of standard deviations of the distances between relevant and irrelevant images to the standard deviations of the distances between relevant images. The proposed technique is quantitatively and qualitatively evaluated using shots related to several sports from the news video collection of the TRECVID video retrieval evaluation where the weights could capture relative contributions of different features and spatial locations. © 2006 IEEE.
      Keywords
      Feedback technique
      Relevant images
      TRECVID video retrieval
      Content based retrieval
      Grid computing
      Image processing
      User interfaces
      Feedback
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      http://hdl.handle.net/11693/27142
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2006.1659767
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      • Department of Computer Engineering 1368
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