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
Computational approaches to temporal sampling of video sequences
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Motion entropy feature and its applications to event-based segmentation of sports video
EURASIP Journal on Advances in Signal Processing
Combining graph connectivity & dominant set clustering for video summarization
Multimedia Tools and Applications
IEEE Transactions on Circuits and Systems for Video Technology
Hierarchical modeling and adaptive clustering for real-time summarization of rush videos
IEEE Transactions on Multimedia
Fast min-hashing indexing and robust spatio-temporal matching for detecting video copies
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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
Multi-document video summarization
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Real-time keyframe extraction towards video content identification
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
A framework for video abstraction systems analysis and modelling from an operational point of view
Multimedia Tools and Applications
Journal of Visual Communication and Image Representation
Introducing risplayer: real-time interactive generation of personalized video summaries
Proceedings of the 2010 ACM workshop on Social, adaptive and personalized multimedia interaction and access
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
A novel approach for robust surveillance video content abstraction
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Content-based surgical workflow representation using probabilistic motion modeling
MIAR'10 Proceedings of the 5th international conference on Medical imaging and augmented reality
EURASIP Journal on Advances in Signal Processing
A template-based baseball video scene classification using efficient playfield segmentation
Multimedia Tools and Applications
Key frame extraction based on visual attention model
Journal of Visual Communication and Image Representation
A rapid scheme for slow-motion replay segment detection
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
On-line video abstract generation of multimedia news
Multimedia Tools and Applications
Wildlife video key-frame extraction based on novelty detection in semantic context
Multimedia Tools and Applications
A design-of-experiment based statistical technique for detection of key-frames
Multimedia Tools and Applications
Computer Vision and Image Understanding
Infinite Dirichlet mixture models learning via expectation propagation
Advances in Data Analysis and Classification
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The key frame is a simple yet effective form of summarizing a long video sequence. The number of key frames used to abstract a shot should be compliant to visual content complexity within the shot and the placement of key frames should represent most salient visual content. Motion is the more salient feature in presenting actions or events in video and, thus, should be the feature to determine key frames. We propose a triangle model of perceived motion energy (PME) to model motion patterns in video and a scheme to extract key frames based on this model. The frames at the turning point of the motion acceleration and motion deceleration are selected as key frames. The key-frame selection process is threshold free and fast and the extracted key frames are representative.