Auto-summarization of audio-video presentations
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
An interactive comic book presentation for exploring video
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Determining computable scenes in films and their structures using audio-visual memory models
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Real-time personalized sports video filtering and summarization
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
A utility framework for the automatic generation of audio-visual skims
Proceedings of the tenth ACM international conference on Multimedia
A user attention model for video summarization
Proceedings of the tenth ACM international conference on Multimedia
Improving Digital Video Commercial Detectors With Genetic Algorithms
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Study on requirement specifications for personalized multimedia summarization
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Rapid estimation of camera motion from compressed video with application to video annotation
IEEE Transactions on Circuits and Systems for Video Technology
Automatic categorization and summarization of documentaries
Journal of Information Science
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Movie-in-a-minute is a summarization method that enables quick browsing and access to hundreds of hours of stored video programs. A movie-in-a-minute is a short video sequence composed of automatically selected portions of the original video that aims at conveying key aspects of a program and its story in an efficient but entertaining way. In this paper we discuss an approach to generating movie-in-a-minute summaries using film grammar rules to guide the selection of video segments that are indexed using automatically computed signal-level features.