IMPACT: an interactive natural-motion-picture dedicated multimedia authoring system
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A feature-based algorithm for detecting and classifying scene breaks
Proceedings of the third ACM international conference on Multimedia
A shot classification method of selecting effective key-frames for video browsing
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Automatic text recognition for video indexing
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Broadcast news navigation using story segmentation
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Scene Determination Based on Video and Audio Features
Multimedia Tools and Applications
Stratification Approach to Modeling Video
Multimedia Tools and Applications
Name-It: Naming and Detecting Faces in News Videos
IEEE MultiMedia
Intelligent delivery of personalised video programmes from a video database
DEXA '97 Proceedings of the 8th International Workshop on Database and Expert Systems Applications
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Design, implementation and testing of an interactive video retrieval system
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Extracting story units from long programs for video browsing and navigation
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
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To provide easy access to scenes of interest in recorded video, structure-sensitive segmentation is necessary. In TV programs, similar shots appear repeatedly, and such appearance can be a clue to estimate a contextual group of shots. The author introduces a measurement which denotes activeness of shot interaction and enables finding of dialog scenes automatically. This paper presents an algorithm and experimental results of the system which effectively and rapidly detects boundaries of sections in news programs and variety shows.