Patent ID: 7164798
Filing Date: 2007-01-16
Classification: G06K

Abstract:
1. A method for learning-based automatic commercial content detection, the method comprising: dividing program data into multiple segments; analyzing the segments to determine visual, audio, and context-based feature sets that differentiate commercial content from non-commercial content; and wherein the context-based features are a function of one or more single-side left and/or right neighborhoods of segments of the multiple segments; and wherein the single-side left and/or right neighborhoods are (2n+1) neighborhoods of a current segment C calculating each of the (2n+1) neighborhoods as follows: wherein N k represents 2n+1, n representing a number of neighborhoods left and/or right of C i , [s i , e i ] denoting start and end frame numbers for C i and start and end times for C i , N k s represents a start frame number for N k , N k e represents an end frame number for N k , L indicating a length of the program data, kεZ,|k|≦n, and α a comprising a time step.