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This project proposes to build a system which address summarization at a multimedia level. In one short sentence ths system could be described as:
"Watch the news while I was away and tell me what happened."
This project combines a Video scene change algorithm, with the current text segmentation and summarization techniques to build an automatic news summarization and extraction system.
Television broadcast news are captured both in Video/Audio format with the accompanying subtitles in text format. News stories are identified, extracted from the video, and summarized in a short paragraph which reduces the amount of information into a manageable size. Individual news video clips can be retrieved effectively by a combination of video and text, using a reversed indexed search engine to provide distilled information such as a summarized version of the orginal text and highlights important key words in the text.