Digital video content fingerprinting based on scale invariant interest region detection with an array of anisotropic filters

A method for content based video sequence identification, the method comprising:

• applying a bi-level filter in a first pass analysis to detect a set of initial interest points in selected video frames, wherein the first pass analysis reduces the effective area of images in each selected video frame to multiple smaller images;
• applying an array of anisotropic filters to regions of pixels around the set of initial interest points in a second pass analysis to form a 4-dimensional (4D) space of determinant images with coordinate (x, y, sx, sy) values;
• and
• interpolating the determinant images to identify refined interest points with coordinate (x, y, sx, sy) values that provide accurate region characterizations that are resistant to image distortion for identification of the video frames in the video sequence.

A computer readable non-transitory medium having embodied thereon a program for content based video sequence identification, the program being executable by a computer to perform the steps of:

• applying a bi-level filter in a first pass analysis to detect a set of initial interest points in selected video frames, wherein the first pass analysis reduces the effective area of images in each selected video frame to multiple smaller images;
• applying an array of anisotropic filters to regions of pixels around the set of initial interest points in a second pass analysis to form a 4-dimensional (4D) space of determinant images with coordinate (x, y, sx, sy) values;
• and
• interpolating the determinant images to identify refined interest points with coordinate (x, y, sx, sy) values that provide accurate region characterizations that are resistant to image distortion for identification of the video frames in the video sequence.