A Principled Approach to Detecting Surprising Events in Video
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Evaluation of video artifact perception using event-related potentials
Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization
Spatio-temporal model-assisted very low-bit-rate coding with compatibility
IEEE Transactions on Circuits and Systems for Video Technology
Perceptually Scalable Extension of H.264
IEEE Transactions on Circuits and Systems for Video Technology
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This paper summarizes our work on optimization of video content compression in the context of the end user. I will briefly explain motivation and novelty of the work that presents the bulk of my dissertation research. Preliminary experiments with promising results are encouraging further steps that should lead to completion of a model for video compression that uses most of available bits for the video content that is actually seen. By this we mean the content that user attends to. Everything else is coded with much less bits, leading to significant savings compared to state-of-the-art coding techniques. Our work should be regarded as extension and not replacement of the hybrid coding paradigm.