VideoMAP and VideoSpaceIcon: tools for anatomizing video content
INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
An intuitive and efficient access interface to real-time incoming video based on automatic indexing
Proceedings of the third ACM international conference on Multimedia
Video Manga: generating semantically meaningful video summaries
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Coupled hidden Markov models for complex action recognition
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Recognition of human body motion using phase space constraints
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
What Energy Functions Can Be Minimizedvia Graph Cuts?
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-Level Video Representation with Application to Keyframe Extraction
MMM '04 Proceedings of the 10th International Multimedia Modelling Conference
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
ACM Computing Surveys (CSUR)
Video abstraction: A systematic review and classification
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Equivalent key frames selection based on iso-content principles
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Two-stage hierarchical video summary extraction to match low-level user browsing preferences
IEEE Transactions on Multimedia
Video visualization for compact presentation and fast browsing of pictorial content
IEEE Transactions on Circuits and Systems for Video Technology
Efficient video indexing scheme for content-based retrieval
IEEE Transactions on Circuits and Systems for Video Technology
A novel video key-frame-extraction algorithm based on perceived motion energy model
IEEE Transactions on Circuits and Systems for Video Technology
Combined key-frame extraction and object-based video segmentation
IEEE Transactions on Circuits and Systems for Video Technology
A new key frame representation for video segment retrieval
IEEE Transactions on Circuits and Systems for Video Technology
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In surveillance applications, keyframes are usually used to summarize important video contents. However, most traditional keyframe extraction approaches just select some video frames from the input video, while the information in these selected video frames are insufficient and cannot let the users perceive the events happened in the original video easily. In this paper, we propose a novel keyframe generating technique to condense the contents of a surveillance video clip captured by a static camera into a still picture (augmented keyframe). The augmented keyframe is a more meaningful keyframe augmented with representative objects, important contents (human faces, license plate, etc.), motion status (represented as icons) and some marks of the moving objects in a still picture. This new technique consists of two major phases: content extraction and content synthesis. Some testing results of the proposed augmented keyframe are also presented and compared with results obtained by the traditional keyframe approach.