Abstract

University is creating large digital libraries of video and audio data available for full content retrieval by integrating natural language understanding, image processing, speech recognition and information retrieval. These digital video libraries allow users to explore multi-media data in depth as well as in breadth. The Informedia system automatically processes and indexes video and audio sources and allows selective retrieval of short video segments based on spoken queries. Interactive queries allow the user to retrieve stories of interest from all the sources that contained segments on a particular topic. Informedia will display representative icons for relevant segments, allowing the user to select interesting video paragraphs for playback.

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