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Optimization processes for compressing media content

  • US 10,303,925 B2
  • Filed: 06/24/2016
  • Issued: 05/28/2019
  • Est. Priority Date: 06/24/2016
  • Status: Active Grant
First Claim
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1. A method comprising:

  • receiving an uncompressed content item in an media content management system;

    determining one or more parameters associated with the uncompressed content item;

    generating, by a processor, a plurality of variants of the uncompressed content item using the one or more parameters, the plurality of variants including one or more compressed content items;

    determining a candidate set comprising at least one of the one or more compressed content items from the plurality of variants based on one or more filtering factors;

    selecting a validated compressed content item from the candidate set based on one or more validation criteria; and

    storing the validated compressed content item in a database in the media content management system, wherein;

    the uncompressed content item comprises a video file,the validated compressed content item comprises a graphics interchange format (GIF) file, andselecting the validated compressed content item from the candidate set based on the one or more validation criteria comprises determining the one or more validation criteria using a machine learning classifier that outputs an optimal set of parameter values of the one or more parameters.

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