1. A method comprising: receiving a plurality of video recordings, wherein each of the video recordings comprise a recording of a respective meeting of a plurality of meetings, wherein the video recordings are stored as digital media content files; identifying a set of properties of the video recordings, wherein the set of properties of each respective video recording comprises: (i) a presenter at the respective meeting, (ii) an attendee at the respective meeting, (iii) a topic of the respective meeting, and (iv) a time the respective meeting occurred; associating at least two topically related segments of at least two of the plurality of video recordings based on the respective sets of properties; generating topic clusters based on similarities between the at least two topically related segments, wherein the topic clusters comprise the at least two topically related segments of the at least two of the plurality of video recordings; generating speaker clusters based on the topic clusters, wherein the speaker clusters associate the presenters at each of the meetings corresponding to the at least two topically related segments of the at least two of the plurality of video recordings; comparing the topic clusters based on the set of properties of each video recording; associating the topic clusters from the at least two of the plurality of video recordings into cluster groups based on the comparing of the topic clusters; associatively storing the cluster groups in a data storage; and generating a time line series corresponding to the at least two topically related segments in each cluster group.
1. A method comprising: receiving a plurality of video recordings, wherein each of the video recordings comprise a recording of a respective meeting of a plurality of meetings, wherein the video recordings are stored as digital media content files; identifying a set of properties of the video recordings, wherein the set of properties of each respective video recording comprises: (i) a presenter at the respective meeting, (ii) an attendee at the respective meeting, (iii) a topic of the respective meeting, and (iv) a time the respective meeting occurred; associating at least two topically related segments of at least two of the plurality of video recordings based on the respective sets of properties; generating topic clusters based on similarities between the at least two topically related segments, wherein the topic clusters comprise the at least two topically related segments of the at least two of the plurality of video recordings; generating speaker clusters based on the topic clusters, wherein the speaker clusters associate the presenters at each of the meetings corresponding to the at least two topically related segments of the at least two of the plurality of video recordings; comparing the topic clusters based on the set of properties of each video recording; associating the topic clusters from the at least two of the plurality of video recordings into cluster groups based on the comparing of the topic clusters; associatively storing the cluster groups in a data storage; and generating a time line series corresponding to the at least two topically related segments in each cluster group. 2. The method of claim 1 , further comprising: storing each time line series associatively with each corresponding topically related segment in the data storage.