Abstract: A method includes receiving, at an analysis server from a user device, a keyword associated with content of interest. The method includes retrieving, at the analysis server from a database, searchable tag data for first searchable tags in the database. Each searchable tag of the searchable tags corresponds to a segment of stored media content. The stored media content is associated with the user device. The first searchable tags pertain to the keyword. The searchable tag data includes an initial relevancy score and a corresponding aging factor for each first searchable tag of the first searchable tags. The method also includes generating, at the analysis server, a list of media content segments based on the searchable tag data and sending the list from the analysis server to the user device. The list is ordered based on the initial relevancy scores modified by the corresponding aging factors.

Abstract: A method includes receiving, at an analysis server from a user device, a keyword associated with content of interest. The method includes retrieving, at the analysis server from a database, searchable tag data for first searchable tags in the database. Each searchable tag of the searchable tags corresponds to a segment of stored media content. The stored media content is associated with the user device. The first searchable tags pertain to the keyword. The searchable tag data includes an initial relevancy score and a corresponding aging factor for each first searchable tag of the first searchable tags. The method also includes generating, at the analysis server, a list of media content segments based on the searchable tag data and sending the list from the analysis server to the user device. The list is ordered based on the initial relevancy scores modified by the corresponding aging factors.

Abstract: A method includes identifying, at a computing device, multiple segments of video content based on a context sensitive term. Each segment of the multiple segments is associated with captioning data of the video content. The method also includes determining, at the computing device, first contextual information of a first segment of the multiple segments based on a set of factors. The method further includes comparing the first contextual information to particular contextual information that corresponds to content of interest. The method further includes in response to a determination that the first contextual information matches the particular contextual information, storing a first searchable tag associated with the first segment.

Abstract: A method includes identifying, at a computing device, multiple segments of video content based on a context sensitive term. Each segment of the multiple segments is associated with captioning data of the video content. The method also includes determining, at the computing device, first contextual information of a first segment of the multiple segments based on a set of factors. The method further includes comparing the first contextual information to particular contextual information that corresponds to content of interest. The method further includes in response to a determination that the first contextual information matches the particular contextual information, storing a first searchable tag associated with the first segment.