Method for automatically producing optimal summaries of linear media
First Claim
1. A method for automatically producing an optimal summary of a linear media source, comprising:
- (a) parameterizing the linear media source to produce a parameterized media signal;
(b) creating a similarity array comprised of a plurality of array elements, wherein each array element includes the value of a similarity measurement between a first portion of the parameterized media signal and a second portion of the parameterized media signal;
(c) optimizing the value of a segment fitness function over the similarity array in order to find an optimal segment, wherein the segment fitness function is adapted to measure the similarity between a segment of the parameterized media signal and the entire parameterized media signal and is a mathematical function of at least a location of the segment; and
(d) selecting a portion of the linear media source as the optimal summary, the portion of the linear media source corresponding to the optimal segment.
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Abstract
Optimal summaries of a linear media source are automatically produced by parameterizing a linear media source. The parameterized linear media source is used to create a similarity array in which each array element includes the value of a similarity measurement between a two portions of the parameterized media signal. A segment fitness function, adapted for measuring the similarity between a segment of the parameterized media signal and the entire parameterized media signal, is optimized to find an optimal segment location. The portion of the linear media source corresponding to the optimal segment location is selected as the optimal summary. This method produces optimal summaries of any type of linear media, such as video, audio, or text information.
100 Citations
22 Claims
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1. A method for automatically producing an optimal summary of a linear media source, comprising:
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(a) parameterizing the linear media source to produce a parameterized media signal; (b) creating a similarity array comprised of a plurality of array elements, wherein each array element includes the value of a similarity measurement between a first portion of the parameterized media signal and a second portion of the parameterized media signal; (c) optimizing the value of a segment fitness function over the similarity array in order to find an optimal segment, wherein the segment fitness function is adapted to measure the similarity between a segment of the parameterized media signal and the entire parameterized media signal and is a mathematical function of at least a location of the segment; and (d) selecting a portion of the linear media source as the optimal summary, the portion of the linear media source corresponding to the optimal segment. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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Specification