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CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
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MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
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Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
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ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
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Video scene detection using graph-based representations
Image Communication
Dominant sets based movie scene detection
Signal Processing
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In this paper, we focus on video programs that are intended to disseminate information and knowledge such as news, documentaries, seminars, etc, and present an audiovisual summarization system that summarizes the audio and visual contents of the given video separately, and then integrating the two summaries with a partial alignment. The audio summary is created by selecting spoken sentences that best present the main content of the audio speech while the visual summary is created by eliminating duplicates/redundancies and preserving visually rich contents in the image stream. The alignment operation aims to synchronize each spoken sentence in the audio summary with its corresponding speaker's face and to preserve the rich content in the visual summary. A Bipartite Graph-based audiovisual alignment algorithm is developed to efficiently find the best alignment solution that satisfies these alignment requirements. With the proposed system, we strive to produce a video summary that: (1) provides a natural visual and audio content overview, and (2) maximizes the coverage for both audio and visual contents of the original video without having to sacrifice either of them.