Lossless video coding based on multi-frame example search and probability model optimization

Koji Nemoto; Yusuke Kameda; Ichiro Matsuda; Susumu Itoh

doi:10.1117/12.2521541

22 March 2019 Lossless video coding based on multi-frame example search and probability model optimization

Koji Nemoto, Yusuke Kameda, Ichiro Matsuda, Susumu Itoh

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 1104948 (2019) https://doi.org/10.1117/12.2521541
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

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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Koji Nemoto, Yusuke Kameda, Ichiro Matsuda, and Susumu Itoh "Lossless video coding based on multi-frame example search and probability model optimization", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104948 (22 March 2019); https://doi.org/10.1117/12.2521541

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KEYWORDS

Optimization (mathematics)

Video coding

Image compression

Computer simulations

Electrical engineering

Image analysis

Image quality standards

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