Abstracting home video automatically
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
Creating music videos using automatic media analysis
Proceedings of the tenth ACM international conference on Multimedia
Action movies segmentation and summarization based on tempo analysis
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Appropriate segment extraction from shots based on temporal patterns of example videos
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Optimization-based automated home video editing system
IEEE Transactions on Circuits and Systems for Video Technology
Multimedia Tools and Applications
Example-based video remixing support system
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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Videos are composed of shots, each of which is recorded continuously by a camera, and video editing can be considered as a process of re-sequencing shots selected from original videos. Shots usually include redundant intervals, which are often edited out by professional editors. Defining the intact interval which is used in the edited video as the appropriate segment and all other intervals of equal length as inappropriate segments, this paper proposes a method for automatically extracting appropriate segments from shots. Since what kinds of characteristics make an interval appropriate to be used in the edited video should be different among shots with different content, the proposed method firstly categorizes shots according to their content with Support Vector Machines. Then, the appropriate segments are extracted based on the temporal patterns of audio and visual features in appropriate and inappropriate segments learned with Hidden Markov Models for each shot category. The effectiveness of the proposed method is verified with experiments.