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ANOMALY DETECTION IN IMAGES AND VIDEOS

  • US 20130101221A1
  • Filed: 10/25/2011
  • Published: 04/25/2013
  • Est. Priority Date: 10/25/2011
  • Status: Active Grant
First Claim
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1. A method for detecting anomalies in a new image, the method comprising:

  • partitioning each image of a set of images into a plurality of local units;

    clustering all the local units in the set of images into clusters;

    assigning class labels to the local units based on a clustering result from clustering the local units, the local units with identical class labels having at least one substantially related image feature;

    assigning a weight to each of the local units based on a variation of the class labels across all images in the set of images; and

    categorizing the new image as anomalous based on the weight assigned to the local units.

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