Video abstraction: A systematic review and classification
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Interactive key frame selection model
Journal of Visual Communication and Image Representation
A fusion architecture based on TBM for camera motion classification
Image and Vision Computing
Dynamic video summarization using two-level redundancy detection
Multimedia Tools and Applications
Extracting Key Frames for Surveillance Video Based on Color Spatial Distribution Histograms
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Instant video summarization during shooting with mobile phone
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Utility-based summarization of home videos
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
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A novel approach is presented to select multiple key frames within an isolated video shot where there is camera motion causing significant scene change. This is achieved by determining the dominant motion between frame pairs whose similarities are represented using a directed weighted graph. The shortest path in the graph, found using the A* search algorithm, designates the key frames. The overall method can be applied to extract a set ofkey frames which portray both the video content and camera motions, all of which are useful features for video indexing and retrieval.