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Image classification

  • US 8,787,683 B1
  • Filed: 06/05/2013
  • Issued: 07/22/2014
  • Est. Priority Date: 07/17/2009
  • Status: Active Grant
First Claim
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1. A computer-implemented method, comprising:

  • obtaining text associated with an image;

    obtaining a feature vector representing visual features of the image;

    parsing, in one or more processing devices, the text into candidate labels for the image, each candidate label being a unique n-gram of text;

    determining, in the one or more processing devices, that an image classification model has been trained for an n-gram matching one or more of the candidate labels, wherein the image classification model has been trained to classify images based on the feature vector; and

    assigning, in the processing device, at least one of the one or more candidate labels as a label for the image based on the feature vector and the image classification model for the n-gram matching the one or more candidate labels.

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