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Identifying presentation styles of educational videos

  • US 9,652,675 B2
  • Filed: 07/23/2014
  • Issued: 05/16/2017
  • Est. Priority Date: 07/23/2014
  • Status: Active Grant
First Claim
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1. A computer-implemented process for identifying the presentation style of a video, comprising the actions of:

  • using one or more computing devices that are in communication with each other via a computer network to perform the following process actions;

    receiving the video;

    computing a set of image features that are computed for each frame of the video independently, the image features comprising one or more of,a low-contrast feature measuring pixel intensity statistics for the video according to a prescribed low-contrast threshold, ora high-contrast feature measuring pixel intensity statistics for the video according to a prescribed high-contrast threshold, ora zero-gradients feature measuring the amount of zero gradients that exist in the video, ora low-gradients feature measuring the amount of weak but non-zero gradients that exist in the video, ora high-gradients feature measuring the amount of strong gradients that exist in the video, ora noise feature measuring the amount of pixel intensity noise that exists in the video; and

    using a pre-learned video presentation style classifier to weight each of the image features in said set and determine a presentation style that is predominately employed in the video, said presentation style determination being based on the weighting of said features.

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