Apparatus and method for automatic dissection of segmented audio signals
First Claim
1. An apparatus for automatic dissection, weighting and ranking of segmented audio signals, the apparatus comprising:
- a content detection means that is configured to receive a segmented audio signal, to automatically detect programs in the segmented audio signal and to automatically segment the programs into contents, the contents being important events comprised in the programs;
a program weighting means for weighting each program comprised in the audio signal based on the contents of the respective program detected by the content detection means;
a viewing statistic database comprising raw audio signals previously selected by a user and/or acoustic features extracted from audio signals previously selected by a user, wherein the program weighting means uses information stored in the viewing statistic database for weighting each program;
a program ranking means for identifying programs of the same category and ranking the programs based on a weighting result for each program provided by the program weighting means; and
a cross category ranking means for identifying weighted programs which belong to different categories, normalizing the weighted programs and ranking the normalized and weighted programs based on a normalization result,the normalization being performed by the cross category ranking means according to the following formula;
Normalized_Ranking_Score1(c,i)=function(W(1)I(1)/F(c,1)+W(2)I(2)/F(c,2)+ . . . +W(N)I(N)/F(c,N)), with1, 2, . . . , N being an index identifying the contents of a respective program,W(N) being a weighting vector comprising weighting factors for the contents 1 to N,I(N) being a content vector comprising the distribution of contents 1-N in the respective program,c being a category index,i being a program index in category c, andF(c,N) being a normalization factor corresponding to content N in category c, wherein the normalization factor F(c,N) is defined as the average duration or occurrence of content N for programs of category c.
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Abstract
An apparatus for automatic dissection of segmented audio signals, wherein at least one information signal for identifying programs included in said audio signals and for identifying contents included in said programs. Content detection device detects programs and contents belonging to the respective programs in the information signal. Program weighting device weights each program includes in the information signal based on the contents of the respective program detected by the content detection device. Program ranking device indentifies programmers of the same category and ranking said programs based on a weighting result for each program provided by the program weighting device.
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Citations
22 Claims
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1. An apparatus for automatic dissection, weighting and ranking of segmented audio signals, the apparatus comprising:
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a content detection means that is configured to receive a segmented audio signal, to automatically detect programs in the segmented audio signal and to automatically segment the programs into contents, the contents being important events comprised in the programs; a program weighting means for weighting each program comprised in the audio signal based on the contents of the respective program detected by the content detection means; a viewing statistic database comprising raw audio signals previously selected by a user and/or acoustic features extracted from audio signals previously selected by a user, wherein the program weighting means uses information stored in the viewing statistic database for weighting each program; a program ranking means for identifying programs of the same category and ranking the programs based on a weighting result for each program provided by the program weighting means; and a cross category ranking means for identifying weighted programs which belong to different categories, normalizing the weighted programs and ranking the normalized and weighted programs based on a normalization result, the normalization being performed by the cross category ranking means according to the following formula;
Normalized_Ranking_Score1(c,i)=function(W(1)I(1)/F(c,1)+W(2)I(2)/F(c,2)+ . . . +W(N)I(N)/F(c,N)), with1, 2, . . . , N being an index identifying the contents of a respective program, W(N) being a weighting vector comprising weighting factors for the contents 1 to N, I(N) being a content vector comprising the distribution of contents 1-N in the respective program, c being a category index, i being a program index in category c, and F(c,N) being a normalization factor corresponding to content N in category c, wherein the normalization factor F(c,N) is defined as the average duration or occurrence of content N for programs of category c. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method for automatic dissection, weighting and ranking of segmented audio signals comprising:
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supplying segmented audio signals to a detecting device; automatically detecting by the detecting device programs in the segmented audio signals and automatically segmenting the programs into contents, the contents being important events comprised in the programs; weighting each program comprised in the audio signal based on the detected contents of the respective program by using information stored in a viewing statistic database for weighting each program, wherein the information stored in the viewing statistic database comprises raw audio signals previously selected by a user and/or acoustic features extracted from audio signals previously selected by a user; identifying programs of the same category; ranking the programs by a program ranking device based on a weighting result for each program provided by weighting each program; identifying weighted programs which belong to different categories; normalizing the weighted programs; and ranking the normalized and weighted programs, the normalization being performed according to the following formula;
Normalized_Ranking_Score1(c,i)=function(W(1)I(1)/F(c,1)+W(2)I(2)/F(c,2)+ . . . +W(N)I(N)/F(c,N), with1, 2, . . . , N being an index identifying the contents of a respective program, W(N) being a weighting vector comprising weighting factors for the contents 1 to N, I(N) being a content vector comprising the distribution of contents 1-N in the respective program, c being a category index, i being a program index in category c, and F(c,N) being a normalization factor corresponding to content N in category c, wherein the normalization factor F(c,N) is defined as the average duration or occurrence of content N for programs of category c. - View Dependent Claims (14, 15, 16, 17, 18, 19)
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20. Apparatus for automatic dissection, weighting and ranking of segmented audio signals, the apparatus comprising:
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a content detection device configured to receive a segmented audio signal and to automatically detect programs in the segmented audio signal and to automatically segment the programs into contents, the contents being important events comprised in the programs; a program weighting device configured to weight each program comprised in the audio signal based on the contents of the respective program detected by the content detection device; a viewing statistic database comprising raw audio signals previously selected by a user and/or acoustic features extracted from audio signals previously selected by a user, wherein the program weighting device uses information stored in the viewing statistic database for weighting each program; a program ranking device configured to identifying programs of the same category and ranking the programs based on a weighting result for each program provided by the program weighting device; and a cross category ranking device configured to identifying weighted programs which belong to different categories, normalizing the weighted programs and ranking the normalized and weighted programs based on a normalization result, the normalization being performed by the cross category ranking device according to the following formula;
Normalized_Ranking_Score1(c,i)=function(W(1)I(1)/F(c,1)+W(2)I(2)/F(c,2)+ . . . +W(N)I(N)/F(c,N)), with1, 2, . . . , N being an index identifying the contents of a respective program, W(N) being a weighting vector comprising weighting factors for the contents 1 to N, I(N) being a content vector comprising the distribution of contents 1-N in the respective program, c being a category index, i being a program index in category c, and F(c,N) being a normalization factor corresponding to content N in category c, wherein the normalization factor F(c,N) is defined as the average duration or occurrence of content N for programs of category c.
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21. An apparatus for automatic dissection, weighting and ranking of segmented audio signals, the apparatus comprising:
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a content detection device that is configured to receive a segmented audio signal, to automatically detect programs in the segmented audio signal and to automatically segment the programs into contents, the contents being important events comprised in the programs, and to classify the contents; a program weighting device for weighting and normalizing each program comprised in the audio signal based on the classification of the contents of the respective program detected by the content detection device; and a program ranking device for identifying programs of a same category and ranking the programs based on a weighting result for each program provided by the program weighting device, the program weighting device weighting and normalizing according to the following formula;
Normalized_Ranking_Score1(c,i)=function(W(1)I(1)/F(c,1)+W(2)I(2)/F(c,2)+ . . . +W(N)I(N)/F(c,N)), with1, 2, . . . , N being an index identifying the contents of a respective program, W(N) being a weighting vector comprising weighting factors for the contents 1 to N, I(N) being a content vector comprising the distribution of contents 1-N in the respective program, c being a category index, i being a program index in category c, and F(c,N) being a normalization factor corresponding to content N in category c, wherein the normalization factor F(c,N) is defined as the average duration or occurrence of content N for programs of category c.
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22. A method for automatic dissection, weighting and ranking of segmented audio signals comprising:
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supplying segmented audio signals to a detecting device; automatically detecting by the detecting device programs in the segmented audio signal and automatically segmenting the programs into contents, the contents being important events comprised in the programs, and classifying the contents; weighting and normalizing each program comprised in the audio signal based on the classification of the detected contents of the respective program; and ranking the programs by a program ranking device based on a weighting result for each program provided by the step of weighting each program, the weighting and normalizing performed according to the following formula;
Normalized_Ranking_Score1(c,i)=function(W(1)I(1)/F(c,1)+W(2)I(2)/F(c,2)+ . . . +W(N)I(N)/F(c,N)), with1, 2, . . . , N being an index identifying the contents of a respective program, W(N) being a weighting vector comprising weighting factors for the contents 1 to N, I(N) being a content vector comprising the distribution of contents 1-N in the respective program, c being a category index, i being a program index in category c, and F(c,N) being a normalization factor corresponding to content N in category c, wherein the normalization factor F(c,N) is defined as the average duration or occurrence of content N for programs of category c.
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Specification