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Capture-intention detection for video content analysis

  • US 7,773,813 B2
  • Filed: 10/31/2005
  • Issued: 08/10/2010
  • Est. Priority Date: 10/31/2005
  • Status: Active Grant
First Claim
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1. A computer-implemented method, comprising:

  • on a video content analysis device;

    delineating video data into intention units;

    extracting features from the video data, wherein each feature is used to estimate one or more human intentions wherein the extracting features includes extracting attention-specific features, and wherein each attention-specific feature represents one dimension of human attention, and wherein the extracting attention-specific features includes analyzing four dimensions of attention (DoA);

    an attention stability, an attention energy, an attention window, and a camera pattern;

    classifying the intention units into intention categories; and

    selecting a number of categories to be the intention categories and defining each of the intention categories according to a type of video content characteristic of one of the human intentions, wherein the intention categories include a static scene category, a dynamic event category, a close-un view category, a beautiful scenery category, a switch record category, a longtime record category, and a just record category.

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