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Method for inferring scenes from test images and training data using probability propagation in a markov network

  • US 6,496,184 B1
  • Filed: 06/18/1999
  • Issued: 12/17/2002
  • Est. Priority Date: 11/30/1998
  • Status: Expired due to Fees
First Claim
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1. A method for inferring a scene from a test image, comprising the steps of:

  • acquiring a plurality of images and corresponding scenes;

    representing each image as a set of image vectors and each scene as a set of scene vectors;

    modeling the image vectors and scene vectors as a network;

    acquiring the test image;

    representing the test image as a test set of vectors;

    identifying candidate scene vectors corresponding to the test image vectors in the network;

    determining compatibility matrices for the candidate scene vectors; and

    propagating probabilities of the candidate scene vectors to infer the scene from the test image.

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