We previously proposed a lossless video coding method based on intra/inter-frame example search and probability model optimization. In this method, several examples, i.e. a set of pels whose neighborhoods are similar to a local texture of the target pel to be encoded, are searched from already encoded areas of the current and previous frames with integer pel accuracy. Probability distribution of an image value at the target pel is then modeled as weighted sum of the Gaussian functions whose peaked positions are given by the individual examples. Furthermore, model parameters that control shapes of the Gaussian functions are numerically optimized so that the resulting coding rate can be a minimum. In this paper, the above example search process is enhanced to allow fractional-pel positions for more accurate probability modeling.
This paper describes a novel lossless video coding method that directly estimates a probability distribution of image values pel-by-pel. In the estimation process, several examples, i.e. a set of pels whose neighborhoods are similar to a local texture of the target pel to be encoded, are gathered from search windows located on an already encoded area of the current frame as well as those of the previous frames. Then the probability distribution is modeled as a weighted sum of the Gaussian functions whose center positions are given by the individual examples. Furthermore, model parameters that control shapes of the Gaussian functions are numerically optimized so that the resulting coding rate can be a minimum. Simulation results indicate that the coding performance can be improved by increasing the number of reference frames.
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