학술논문

An MCMC based Efficient Parameter Selection Model for x265 Encoder
Document Type
Conference
Source
2018 IEEE International Symposium on Circuits and Systems (ISCAS) Circuits and Systems (ISCAS), 2018 IEEE International Symposium on. :1-5 May, 2018
Subject
Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Signal Processing and Analysis
Encoding
Complexity theory
Clocks
Standards
Parallel processing
Optimization
Video coding
Language
ISSN
2379-447X
Abstract
As an open-source and computationally efficient High Efficiency Video Coding (HEVC) encoder, x265 has been gaining increasing popularity in video applications. x265 provides numerous encoding parameters in view of flexibility. However, proper and efficient setting of parameters often becomes a great challenge in practice. In this paper, we deeply investigate the influence of x265 parameters based on the Slow preset and pick out important parameters in terms of efficiency and complexity. Then a Markov Chain Monte Carlo (MCMC) based algorithm is proposed for efficient parameter adaptation at the target encoding time. This paper shows that carefully selected low-complexity encoding configurations can achieve the coding efficiency comparable to that of high-complexity ones. Specifically, average 26.72% encoding time reduction can be achieved while maintaining similar Rate Distortion (RD) performance to x265 presets using the proposed algorithm.