The Procter & Gamble Company
Method for categorizing digital video data

Abstract:

In one aspect, a computer implemented method for extracting information on actions or activities captured in digital data includes steps of: providing a first digital data set, extracting and characterizing first features from the first digital data set, creating first clusters from the extracted first features according to probability density functions and reference function distance calculations, providing a second digital data set, extracting and characterizing second features from the second digital data set, characterizing the extracted second features according to probability density functions and reference function distance calculations, and matching the second extracted features to a portion of the first extracted features clusters according to similarities in reference function distance calculations.