Abstract: A processor may receive a query from a user. The processor may identify one or more subjects in the query. The one or more subjects may include a particular subject. The processor may identify one or more sections of a recording. The processor may group the one or more sections into one or more subdivisions. The processor may determine that the particular subject is in at least one of the one or more sections. The processor may display the one or more subdivisions of the one or more sections that include the particular subject to the user.

Abstract: A computer-implemented method for providing a graphical user interface (GUI) for video navigation by a user, including generating a GUI comprising a representation of partitioned segments of video content, the representation depicting a dimension of time, a dimension of scale, and a dimension of relevance for the partitioned segments of video content, wherein the GUI includes a first axis that depicts the dimension of time and a second axis that depicts the dimension of scale. The method further entails determining the dimension of relevance for the partitioned segments of video content based on receiving a text query from a user dynamically, or from a pre-defined source, and comparing one or more attributes of the partitioned segments of video content to the text query, or to the pre-defined source. The method further includes assigning a color to the partitioned segments of video content according to a color scheme for easy navigation.

Abstract: A computer-implemented method for providing a graphical user interface (GUI) for video navigation by a user, including generating a GUI comprising a representation of partitioned segments of video content, the representation depicting a dimension of time, a dimension of scale, and a dimension of relevance for the partitioned segments of video content, wherein the GUI includes a first axis that depicts the dimension of time and a second axis that depicts the dimension of scale. The method further entails determining the dimension of relevance for the partitioned segments of video content based on receiving a text query from a user dynamically, or from a pre-defined source, and comparing one or more attributes of the partitioned segments of video content to the text query, or to the pre-defined source. The method further includes assigning a color to the partitioned segments of video content according to a color scheme for easy navigation.

Abstract: A processor may receive a query from a user. The processor may identify one or more subjects in the query. The one or more subjects may include a particular subject. The processor may identify one or more sections of a recording. The processor may group the one or more sections into one or more subdivisions. The processor may determine that the particular subject is in at least one of the one or more sections. The processor may display the one or more subdivisions of the one or more sections that include the particular subject to the user.

Abstract: Segmenting serial data by processing multiple candidate segmentation point sets associated with a serial data set, each candidate set including a different number of candidate segmentation points representing the serial data set as segments in accordance with segmentation criteria, where the processing includes determining, for each of the candidate points, a count of the candidate sets that include the candidate point, and creating, for each of the candidate sets, a corresponding alternative segmentation point set associated with the serial data set, where the alternative set includes n alternative segmentation points representing the serial data set as n+1 segments, where n equals the number of candidate points in the candidate set to which the alternative set corresponds, and where the n alternative points in the alternative set correspond to n of the candidate points having the greatest counts, and arranging the alternative sets in order of their numbers of segmentation points.

Abstract: Segmenting serial data by processing multiple candidate segmentation point sets associated with a serial data set, each candidate set including a different number of candidate segmentation points representing the serial data set as segments in accordance with segmentation criteria, where the processing includes determining, for each of the candidate points, a count of the candidate sets that include the candidate point, and creating, for each of the candidate sets, a corresponding alternative segmentation point set associated with the serial data set, where the alternative set includes n alternative segmentation points representing the serial data set as n+1 segments, where n equals the number of candidate points in the candidate set to which the alternative set corresponds, and where the n alternative points in the alternative set correspond to n of the candidate points having the greatest counts, and arranging the alternative sets in order of their numbers of segmentation points.