Video coding algorithm optimization method based on parameter selection

Abstract

The invention discloses a video coding algorithm optimization method based on parameter selection, and the method comprises the steps of: S1, carrying out the comprehensive analysis of rate distortion performance and coding complexity through R-D-T comprehensive performance evaluation indexes; S2, analyzing correlation among the parameters, quantitatively calculating coupling coefficients of the parameters, and sorting the parameters according to the coupling coefficients; and S3, through a parameter selection algorithm, obtaining a group of optimal parameter combinations in a first cycle. In the second cycle, coding time limitation is added on the basis of the first cycle, and on the basis of the rule that the smaller the value of the same parameter is, the shorter the coding time is, and on the basis of the optimal parameter combination obtained in the first cycle, the value of the parameter is increased or decreased by comparing the actual coding time with the target coding time, and the RDTscores are compared after different parameter adjustment so as to find out the parameter with the best comprehensive performance as the object of the parameter adjustment of the round until the target complexity is reached within the range allowed by the error.

Description

technical field [0001] The present invention relates to the field of digital video coding and decoding, in particular to methods for performance optimization and coding complexity control of video coders. Background technique [0002] The design of new generation video coding algorithm is a complex nonlinear system optimization problem. Multi-objective performance balance optimization can be achieved by optimizing the customizable module algorithm, selecting encoding tools, and configuring encoding system parameters. After decades of development, the algorithm of each custom module has become mature, but the different configuration methods of each algorithm module and the selection of different encoding tools will lead to different performance of the encoder, so the video encoding algorithm still has a large room for optimization. During the encoding process, the configuration of each algorithm module and the selection of encoding tools can be realized by configuring the sy...

AI Technical Summary

Problems solved by technology

[0007] 1. A single rate-distortion performance or coding complexity evaluation index cannot meet the practical requirements. In order to effectively evaluate the impact of parameters on rate-distortion-complexity, it is necessary to establish a rate-distortion-complexity comprehensive performance measurement method;

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