Automated segmentation and information extraction of broadcast news via finite state presentation model
AssigneeThe MITRE Corporation
InventorsMark T. Maybury, Andrew E. Merlino, Jr.
Life of this patent
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Abstract
A technique for automated analysis of multimedia, such as, for example, a news broadcast. A Broadcast News Editor and Broadcast News Navigator system analyze, select, condense, and then present news summaries. The system enables not only viewing a hierarchical table of contents of the news, but also summaries tailored to individual needs. This is accomplished through story segmentation and proper name extraction which enables the use of common information retrieval methodologies, such as Web browsers. Robust segmentation processing is provided using multistream analysis on imagery, audio, and closed captioned stream cue events according to a finite state model indicative of the presentation class.
Claims26
A method for automatically transforming a representation of a multimedia presentation having multiple information streams contained therein, the multiple information streams representing a plurality of multimedia presentation sources, the method comprising the steps of:
- (a) developing by a computer a set of presentation models, each presentation model associated with a class of multimedia presentations, each model defining expected event cues within at least one information stream of the multimedia presentation for a class of presentations to which a specific multimedia presentation belongs, the model being a finite state automaton having states corresponding to segments of the presentation class, and having state transitions corresponding to expected event cues, each model thereby also specifying an expected time sequence of state transitions between event cues for the class of presentations to which it relates;
- and”
- (b) determining by a computer that transforming the representation of the multimedia presentation belongs to a particular multimedia presentation class based upon the results of matching observed event cues against the set of presentation models.
Dependencies are inferred from the claim text.