12. A computer program product for partitioning a video sequence, comprising: a non-transitory computer readable storage medium; first program instructions to divide a video sequence into a plurality of segments; second program instructions to generate a transcript of speech content of the video sequence, wherein the transcript comprises a plurality of words and identifies temporal locations of the words in the video sequence; third program instructions to select a plurality of keywords from the plurality of words in the transcript; fourth program instructions to select a set of keywords from the plurality of keywords, wherein the keywords in the set of keywords are related to each other by meanings of the keywords; fifth program instructions to determine a distribution of occurrences across the plurality of segments of the keywords in the set of keywords; sixth program instructions to select a group of segments from the plurality of segments using the distribution, wherein the segments in the group of segments are temporally adjacent and the group of segments corresponds to a peak of the occurrences across the plurality of segments of the keywords in the set of keywords; seventh program instructions to form a partition of the video sequence from the group of segments; and wherein the first, second, third, fourth, fifth, sixth, and seventh program instructions are stored on the non-transitory computer readable storage medium, wherein the second program instructions comprise program instructions to: generate the transcript of speech content of the video sequence from audio content of the video sequence using automatic speech recognition; determine whether the transcript generated from the audio content is satisfactory; determine whether the video sequence has closed caption, responsive to a determination that the transcript generated from the audio content is not satisfactory; and generate the transcript from the closed caption, responsive to a determination that the video sequence has closed caption.
12. A computer program product for partitioning a video sequence, comprising: a non-transitory computer readable storage medium; first program instructions to divide a video sequence into a plurality of segments; second program instructions to generate a transcript of speech content of the video sequence, wherein the transcript comprises a plurality of words and identifies temporal locations of the words in the video sequence; third program instructions to select a plurality of keywords from the plurality of words in the transcript; fourth program instructions to select a set of keywords from the plurality of keywords, wherein the keywords in the set of keywords are related to each other by meanings of the keywords; fifth program instructions to determine a distribution of occurrences across the plurality of segments of the keywords in the set of keywords; sixth program instructions to select a group of segments from the plurality of segments using the distribution, wherein the segments in the group of segments are temporally adjacent and the group of segments corresponds to a peak of the occurrences across the plurality of segments of the keywords in the set of keywords; seventh program instructions to form a partition of the video sequence from the group of segments; and wherein the first, second, third, fourth, fifth, sixth, and seventh program instructions are stored on the non-transitory computer readable storage medium, wherein the second program instructions comprise program instructions to: generate the transcript of speech content of the video sequence from audio content of the video sequence using automatic speech recognition; determine whether the transcript generated from the audio content is satisfactory; determine whether the video sequence has closed caption, responsive to a determination that the transcript generated from the audio content is not satisfactory; and generate the transcript from the closed caption, responsive to a determination that the video sequence has closed caption. 14. The computer program product of claim 12 , wherein each of the keywords is a type of keyword selected from the group of types of keywords consisting of a single word and a phrase.