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      • Department of Computer Engineering
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      A histogram-based approach for object-based query-by-shape-and-color in image and video databases

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      Author(s)
      Şaykol, E.
      Güdükbay, Uğur
      Ulusoy, Özgür
      Date
      2005
      Source Title
      Image and Vision Computing
      Print ISSN
      0262-8856
       
      1872-8138
       
      Publisher
      Elsevier
      Volume
      23
      Issue
      13
      Pages
      1170 - 1180
      Language
      English
      Type
      Article
      Item Usage Stats
      241
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      197
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      Abstract
      Considering the fact that querying by low-level object features is essential in image and video data, an efficient approach for querying and retrieval by shape and color is proposed. The approach employs three specialized histograms, (i.e. distance, angle, and color histograms) to store feature-based information that is extracted from objects. The objects can be extracted from images or video frames. The proposed histogram-based approach is used as a component in the query-by-feature subsystem of a video database management system. The color and shape information is handled together to enrich the querying capabilities for content-based retrieval. The evaluation of the retrieval effectiveness and the robustness of the proposed approach is presented via performance experiments. © 2005 Elsevier Ltd. All rights reserved.
      Keywords
      Angle histogram
      Distance histogram
      Distance-weighted color histogram
      Histogram-based approach
      Object-based querying
      Query-by-color
      Query-by-shape
      Database systems
      Image retrieval
      Performance
      Query languages
      Robustness (control systems)
      Video signal processing
      Angle histogram
      Distance histogram
      Distance-weighted color histogram
      Object-based querying
      Query by color
      Query by shape
      Color image processing
      Permalink
      http://hdl.handle.net/11693/23955
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/j.imavis.2005.07.015
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