Detecting topical events in digital video
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Determining computable scenes in films and their structures using audio-visual memory models
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Constructing table-of-content for videos
Multimedia Systems - Special section on video libraries
Extracting story units from long programs for video browsing and navigation
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Associating characters with events in films
Proceedings of the 6th ACM international conference on Image and video retrieval
Indexing of fictional video content for event detection and summarisation
Journal on Image and Video Processing
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This work focuses on the detection of events including 2- speaker dialog scene, multiple-speaker dialog scene and hybrid scene from the daily movies. Specifically, we employ the visual information to detect all possible shot sinks by using a new method called a window-based sweep algorithm, then all detected shot sinks are categorized into 3 classes using the well-known K-means algorithm, which forms the basis of our proposed event-detection scheme. Furthermore, the accompanying audio cue will also be utilized for achieving more meaningful results. Our preliminary experimental results show that by integrating audiovisual information, meaningful events could be successfully detected and extracted.