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DETECTING RECURRING THEMES IN CONSUMER IMAGE COLLECTIONS

  • US 20130051670A1
  • Filed: 08/30/2011
  • Published: 02/28/2013
  • Est. Priority Date: 08/30/2011
  • Status: Active Grant
First Claim
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1. A method of identifying groups of related digital images in a digital image collection including a plurality of digital images, comprising:

  • analyzing each of the digital images in the digital image collection to generate associated feature descriptors related to image content or image capture conditions;

    storing the feature descriptors associated with the digital images in a metadata database;

    using a data processor to automatically analyze the metadata database to identify a plurality of frequent itemsets, wherein each of the frequent itemsets is a co-occurring feature descriptor group that occurs in at least a predefined fraction of the digital images, each frequent itemset being associated with a subset of the digital images;

    determining a probability of occurrence for each the identified frequent itemsets based on one or more probability distributions determined from an analysis of a large number of image collections;

    determining a quality score for each of the identified frequent itemsets responsive to the determined probability of occurrence;

    ranking the frequent itemsets based at least on the determined quality scores;

    identifying one or more groups of related digital images corresponding to one or more of the top ranked frequent itemsets; and

    storing an indication of the identified groups of related digital images in a processor-accessible memory.

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