Digital Video and HDTV Algorithms and Interfaces
Digital Video and HDTV Algorithms and Interfaces
Fluid interaction techniques for the control and annotation of digital video
Proceedings of the 16th annual ACM symposium on User interface software and technology
Image matching using alpha-entropy measures and entropic graphs
Signal Processing - Special section on content-based image and video retrieval
Multimedia Tools and Applications
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Making a Long Video Short: Dynamic Video Synopsis
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Video abstraction: A systematic review and classification
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Nonchronological Video Synopsis and Indexing
IEEE Transactions on Pattern Analysis and Machine Intelligence
SmartPlayer: user-centric video fast-forwarding
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Video Browsing Using Interactive Navigation Summaries
CBMI '09 Proceedings of the 2009 Seventh International Workshop on Content-Based Multimedia Indexing
A Real-Time Technique for Spatio–Temporal Video Noise Estimation
IEEE Transactions on Circuits and Systems for Video Technology
Summarizing high-level scene behavior
Machine Vision and Applications
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Automated video analysis lacks reliability when searching for unknown events in video data. The practical approach is to watch all the recorded video data, if applicable in fast-forward mode. In this paper we present a method to adapt the playback velocity of the video to the temporal information density, so that the users can explore the video under controlled cognitive load. The proposed approach can cope with static changes and is robust to video noise. First, we formulate temporal information as symmetrized Rényi divergence, deriving this measure from signal coding theory. Further, we discuss the animated visualization of accelerated video sequences and propose a physiologically motivated blending approach to cope with arbitrary playback velocities. Finally, we compare the proposed method with the current approaches in this field by experiments and a qualitative user study, and show its advantages over motion-based measures.