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Method of using temporal context for image classification

DC
  • US 7,680,340 B2
  • Filed: 11/13/2003
  • Issued: 03/16/2010
  • Est. Priority Date: 11/13/2003
  • Status: Active Grant
First Claim
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1. A method for improving scene classification of a sequence of digital images comprising the steps of:

  • (a) providing a sequence of images captured in temporal succession, at least two pairs of consecutive images in the sequence of images having different elapsed times between their capture;

    (b) classifying, with a programmed digital computer, each of the images individually based on information contained in the individual image to generate an initial content-based image classification for each of the images;

    (c) generating, with a programmed digital computer, a final image classification for each image based at least on the respective initial content-based image classification and a pre-determined temporal context model that considers at least the temporal succession of the sequence of images; and

    (d) storing the final image classifications in a computer readable storage medium,wherein the classifying of step (b), and the final image classification classify images into one of a predetermined number of classes M, andwherein M is greater than or equal to two.

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