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Coding parameter adaptive adjusting method based on Monte Carlo method Markov chain

A technology of Monte Carlo method and Markov chain, which is applied in the field of video coding parameter optimization to achieve better performance

Active Publication Date: 2018-09-28
SHANGHAI UNIV
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Problems solved by technology

[0005] Aiming at the defect that there is no complete set of encoding parameter optimization methods in the current prior art, the present invention provides an adaptive adjustment method of encoding parameters based on Monte Carlo method Markov chain

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  • Coding parameter adaptive adjusting method based on Monte Carlo method Markov chain
  • Coding parameter adaptive adjusting method based on Monte Carlo method Markov chain
  • Coding parameter adaptive adjusting method based on Monte Carlo method Markov chain

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Embodiment

[0039] This embodiment provides a method for adaptively adjusting coding parameters based on Monte Carlo method Markov chain, including the following steps:

[0040] ① Design an evaluation index RDTscore about encoding performance and encoding time, and the evaluation index RDTscore is used to reflect the impact of an encoding parameter on the encoder when changing an encoding parameter.

[0041]② Set an appropriate threshold for the evaluation index RDTscore, and perform preliminary screening of each coding parameter according to the threshold. The change of the selected encoding parameters will have a relatively large impact on the encoding time and encoding performance.

[0042] ③Given the coding complexity, in the parameter set composed of the preliminarily screened coding parameters, a new coding parameter combination is randomly generated according to the Monte Carlo method.

[0043] ④ Use the new encoding parameter combination for encoding, compare the newly generated ...

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Abstract

The invention provides a coding parameter adaptive adjusting method based on a Monte Carlo method Markov chain. Initial coding parameter evaluation is conducted, the influences of coding parameters onthe performances and the coding time are analyzed, and the coding parameters which are closely related to the coding performances and the coding time are screened out; the parameters are classified according to the influences of the coding parameters on the coding time and the coding performances; and in the range of the specified coding complexity, configurations of various parameter combinations are randomly selected and used for conducting coding, state jumping is conducted when a certain critical condition is met, and the better parameter combination is selected to replace the current parameter combination. According to the method, the near-optimal coding parameter configuration is acquired on the premise that not all coding parameter combinations are traversed. The method is suitablefor optimization of coder level parameter adjusting, the coding performances of the high-complexity coding parameters are acquired by using the coding parameters with the low-complexity configuration, or the better coding performances are acquired under the same coding complexity condition.

Description

technical field [0001] The invention relates to the technical field of video coding parameter optimization, in particular to a method for adaptively adjusting coding parameters based on a Monte Carlo Markov chain. Background technique [0002] After years of development of video coding standards, a relatively mature block-based hybrid coding framework has been formed. The next-generation video coding standard High Efficiency Video Coding (HEVC), developed in 2013, achieved a bit rate reduction of about 40% compared to the previous generation video standard H.264 / AVC. New technologies such as flexible quadtree partition structure, advanced motion vector estimation, and sample point adaptive compensation effectively improve the compression performance of the encoder, but also lead to a significant increase in complexity. Therefore, as the reference software of the HEVC standard, HM is difficult to be directly applied to practical applications due to its high complexity. [0...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/147H04N19/14H04N19/196
CPCH04N19/14H04N19/147H04N19/196
Inventor 宋利黄琰杨小康安平
Owner SHANGHAI UNIV
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