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Methods for using extracted feature vectors to perform an action associated with a product

  • US 9,807,472 B1
  • Filed: 11/18/2016
  • Issued: 10/31/2017
  • Est. Priority Date: 09/14/2000
  • Status: Expired due to Fees
First Claim
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1. A method comprising:

  • receiving, from a user electronic device at a computer system, one or more extracted feature vectors that are compact representations of one or more video frames of a video displayed at the user device;

    identifying, at the computer system, one or more products related to the one or more video frames based on a sub-linear search of an electronic database of reference feature vectors corresponding to one or more reference works that identifies any match within a threshold of at least one of the reference feature vectors to the one or more extracted feature vectors but does not guarantee to identify the closest match to the one or more extracted feature vectors, wherein the one or more reference works are organized using a clustering technique to eliminate a subset of the one or more reference works to be searched by performing a comparison of cluster features;

    providing, by the computer system to the user electronic device, the identified one or more products along with action information associated with the identified one or more products, wherein the action information is related to an action to be performed at the user electronic device;

    receiving, at the computer system from the user electronic device, a selection of one of the identified one or more products; and

    providing, to the electronic device, machine readable instructions for performance of the action associated with the selected one of the identified one or more products.

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