Video abstraction: A systematic review and classification
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
On Video Abstraction Systems' Architectures and Modelling
SAMT '08 Proceedings of the 3rd International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
Combining graph connectivity & dominant set clustering for video summarization
Multimedia Tools and Applications
Key frame vector and its application to shot retrieval
IMCE '09 Proceedings of the 1st international workshop on Interactive multimedia for consumer electronics
IM(S)2: Interactive movie summarization system
Journal of Visual Communication and Image Representation
Temporal video structuring for preservation and annotation of video content
ICIP'09 Proceedings of the 16th IEEE international conference on Image 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
VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method
Pattern Recognition Letters
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
Instant video summarization during shooting with mobile phone
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Football video annotation based on player motion recognition using enhanced entropy
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
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Content-based video analysis calls for efficient videorepresentation. In this paper, a novel multi-levelrepresentation of video is proposed based on theprinciple components derived from low-level visualfeatures. It can characterize the video content from thecoarse level to the fine level according to its intrinsicstructure. This representation form provides a flexiblescheme for video content analysis such assummarization, classification, and retrieval. A newlyproposed subspace method, kernel based PCA, isexplored to achieve this conveniently. The applicationin keyframe extraction is investigated to demonstratethe benefits of this representation.