Dynamic selection and effective compression of key frames for video abstraction
Pattern Recognition Letters
A Shortest Path Representation for Video Summarisation
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Multi-Level Video Representation with Application to Keyframe Extraction
MMM '04 Proceedings of the 10th International Multimedia Modelling Conference
Video abstraction: A systematic review and classification
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
IEEE Transactions on Circuits and Systems for Video Technology
Video shot boundary detection: Seven years of TRECVid activity
Computer Vision and Image Understanding
A new diamond search algorithm for fast block-matching motion estimation
IEEE Transactions on Image Processing
An integrated scheme for automated video abstraction based on unsupervised cluster-validity analysis
IEEE Transactions on Circuits and Systems for Video Technology
Video2Book: semi-automatic tool to create mediaproducts from videos on smart phones
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
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To facilitate review and management of home videos captured by mobile phones, we propose a novel instant summarization method which is applied while users are shooting. Segment boundaries and key frames are extracted without any delay, which means that the extracted frames strictly synchronize with the scene being captured. Partial-context is the major challenge of this method since only captured frames are available when summarization is applied. And limited calculation resource of mobile phones is another restricted condition in such a video analysis, especially when video compression is executed meanwhile. Several frame features are utilized for segmentation and key frame extraction; and an original key frame updating strategy is presented to optimize selected representative frames in such partial-context. Experimental results demonstrate that the proposed method is satisfactory in the aspects of low computation complexity, high effectiveness and good user experience.