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      GCap: Graph-based automatic image captioning

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      Author
      Pan J.-Y.
      Yang H.-J.
      Faloutsos C.
      Duygulu, Pınar
      Date
      2004
      Source Title
      2004 Conference on Computer Vision and Pattern Recognition Workshop
      Print ISSN
      2160-7508
      Publisher
      IEEE
      Language
      English
      Type
      Conference Paper
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      Abstract
      Given an image, how do we automatically assign keywords to it? In this paper, we propose a novel, graph-based approach (GCap) which outperforms previously reported methods for automatic image captioning. Moreover, it is fast and scales well, with its training and testing time linear to the data set size. We report auto-captioning experiments on the "standard" Corel image database of 680 MBytes, where GCap outperforms recent, successful auto-captioning methods by up to 10 percentage points in captioning accuracy (50% relative improvement). © 2004 IEEE.
      Keywords
      Computer vision
      Image retrieval
      Pattern recognition
      Statistical tests
      Automatic image captioning
      Corel image database
      Data set size
      Graph-based
      Percentage points
      Training and testing
      Graphic methods
      Permalink
      http://hdl.handle.net/11693/27472
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/CVPR.2004.353
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      • Department of Computer Engineering 1398
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