A magnifier tool for video data
CHI '92 Proceedings of the SIGCHI 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
Automated generation of news content hierarchy by integrating audio, video, and text information
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Time-Constrained Keyframe Selection Technique
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Rate-distortion optimal video summary generation
IEEE Transactions on Image Processing
Video visualization for compact presentation and fast browsing of pictorial content
IEEE Transactions on Circuits and Systems for Video Technology
Summarization of videotaped presentations: automatic analysis of motion and gesture
IEEE Transactions on Circuits and Systems for Video Technology
Real-time shot change detection over online MPEG-2 video
IEEE Transactions on Circuits and Systems for Video Technology
Binary tree based on-line video summarization
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
On Video Abstraction Systems' Architectures and Modelling
SAMT '08 Proceedings of the 3rd International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
A framework for video abstraction systems analysis and modelling from an operational point of view
Multimedia Tools and Applications
On-line video abstract generation of multimedia news
Multimedia Tools and Applications
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This paper presents a group of post-processing techniques aimed to on-line adaptive video summary generation based on video analysis curves, named relevance curves obtained by different approaches (e.g., extraction of visual features, semantic features, rate-distortion curves). The developed techniques can be applied to improve the quality of the generated video summaries, control the summaries length and constitute a way to generate summaries with independence of the approach taken to generate the relevance curves that are used as basis for summary generation.