H.264 variable bit rate control method based on Matthew effect

Abstract

The invention relates to an H.264 variable bit rate control method based on Matthew effect, in particular to a method for bit rate allocation according to the rules of human eyes in the H.264 compression process. The control method comprises a method for determining the quantization step of an image layer, and a method for determining the quantization step of a macroblock layer. The method for determining the quantization step of the image layer is characterized in that in the P frame, if the bit rate of the current coded frame is two times larger than the bit rate of the prior frame, the quantization step is reduced by one to improve the accuracy of quantization; and if the bit rate of the current coded frame is 1 / 2 smaller than the bit rate of the prior frame, the quantization step is increased by one to reduce coded data. The H.264 variable bit rate control method can reserve sensitive data of human eyes, accords with universal Matthew effect rules, can carry out bit rate allocation in an image level and a basic unit level, and can adjust the bit rate in a self-adapting mode according to the conditions of image sequences. The experiment indicates that the complexity of the algorithm is low, and the data of sensitive areas of human eyes can be better reserved.

Description

technical field [0001] The invention relates to an H.264 variable code rate control method based on the Matthew effect, in particular to a method for allocating code rates according to the law of human eyes during the H.264 compression process. Background technique [0002] Rate control is an important part of video encoders. In the process of video encoding, the output video quality and bit rate affect each other. If the output video quality is better, the output bit rate will be higher. Due to the limitation of network bandwidth or storage capacity, it is necessary to control the output bits of the video encoder within a certain range in order to obtain the best video quality as possible while meeting the bandwidth or storage capacity constraints. The control used here The strategy is rate control. It can be seen that the quality of the code rate control strategy is one of the key factors for the success of the video encoder. [0003] H.264 is the latest block-based vid...

AI Technical Summary

Problems solved by technology

This leads to egalitarianism, that is, the fixed area in the image originally needs fewer bits, and the number of bits in the area will be increased; the moving area originally needs more bits, and the number of bits in the area will be reduced. , the statistics of the non-zero coefficients of macroblocks and the number of bits used in an image of the Carphone sequence shows that this method does not allocate the code rate according to the visual characteristics of the human eye. The human eye is sensitive to changing information, but it is often used for large static areas Not concerned

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