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Generating a motion attention model

  • US 8,098,730 B2
  • Filed: 04/03/2006
  • Issued: 01/17/2012
  • Est. Priority Date: 11/01/2002
  • Status: Expired due to Fees
First Claim
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1. A method implemented at least in part by a computing device for generating a motion attention model of a video data sequence, the method comprising:

  • generating, by the computing device, a motion saliency map B to precisely indicate motion attention areas for each frame in the video data sequence, the motion saliency map being based on intensity I, spatial coherence Cs, and temporal coherence Ct values from each location of a block MBij, in motion fields extracted from the video data sequence; and

    accumulating brightness associated with each of the intensity I, the spatial coherence Cs, and the temporal coherence Ct values of detected motion attention areas to generate, with respect to time, a motion attention model for the video data sequence, wherein;

    the intensity I values are motion intensity values each represented on a motion intensity map by a brightness associated with each location of the block MBij;

    the spatial coherence Cs values are each represented on a spatial coherence map by a brightness associated with each location of the block MBij;

    the temporal coherence Ct values are each represented on a temporal coherence map by a brightness associated with each location of the block MBij; and

    a combination is represented on the motion saliency map B by a brightness of the detected motion attention areas associated with each location of the block MBij.

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