Sequence-level models for distortion-rate behaviour of compressed video

In this paper, two empirical models for the sequence-level distortion-rate performance of predictive video source encoding are proposed. They require very limited amount of empirical data, namely three pairs of rate and distortion, in order to set up the model parameters. The advantages of these proposed models are the robustness towards measurement noise, low number of model parameters with a closed form setup solution, and high accuracy. Experimental validation using H.264/AVC encoded video test sequences reports high accuracy of these two proposed models.