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We describe integrated multimedia processing for Video Scout, a system that segments and indexes TV programs according to their audio, visual, and transcript information. Video Scout represents a future direction for personal video recorders. In addition to using electronic program guide metadata and a user profile, Scout allows the users to request specific topics within a program. For example, users can request the video clip of the USA president speaking from a half-hour news program. Video Scout has three modules: (i) video pre-processing, (ii) segmentation and indexing, and (iii) storage and user interface. Segmentation and indexing, the core of the system, incorporates a Bayesian framework that integrates information from the audio, visual, and transcript (closed captions) domains. This framework uses three layers to process low, mid, and high-level multimedia information. The high-level layer generates semantic information about TV program topics. This paper describes the elements of the system and presents results from running Video Scout on real TV programs.
Jasinschi et al. (Wed,) studied this question.