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Systems and methods for semantically classifying and extracting shots in video

  • US 9,020,263 B2
  • Filed: 04/03/2012
  • Issued: 04/28/2015
  • Est. Priority Date: 02/15/2008
  • Status: Active Grant
First Claim
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1. A method for classifying videos based on video content, comprising the steps of:

  • receiving a video file, the video file including a plurality of frames, where each frame includes a plurality of pixels;

    extracting a set of frames from the video file;

    for each frame in the extracted set of frames, determining whether the frame comprises a poor classification frame, removing the one or more poor classification frames from the extracted set of frames;

    dividing each frame in the extracted set of frames into one or more segments, where each segment includes relatively uniform image content;

    extracting image features from each segment to form a feature vector associated with each segment;

    generating a material classification score vector for each segment via one or more material classifiers based on the feature vector associated with each segment, where each material classification score vector includes one or more material classification scores associated with one or more predefined material content categories; and

    for each pixel of each frame in the extracted set of frames, assigning an average of material classification score vectors associated with segments that include the pixel.

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