Method for controlling video coding bit rate

Abstract

This invention discloses a video code bit rate control method in which quick and accurate predict of the code bit rate can be realized by the good linear relationship between code bit number and transformation ratio parameter, good information source weak correlation between code distortion and the transformation ratio paremter, the target code bit number can be determined, according to the predict and the code buffer, then code quqntification parameter is adjusted according to the relationship between the transformation rate and the quantification parameters to control the code bit rate. Thecode parameter is adjusted according to code macro-block distortion.

Description

technical field [0001] The invention belongs to the field of transmission and processing of video information in the field of digital video communication, and in particular relates to a video encoding bit rate control method. Background technique [0002] In 1948, Shannon proposed the idea of ​​coding associated with a certain fidelity criterion. Later, a related paper was published in 1959, which made a fundamental statement on the source coding problem, and pointed out that the information rate-distortion theory can determine the theoretical limit of data compression, thus further laying the foundation for the information rate-distortion theory. After the development of Jelinek, Gallager, Berger and others, the limited distortion source coding theory was formed. [0003] In the limited-distortion source coding theory, the rate-distortion (R-D) function R(D) is defined as: Under the premise of the given source message probability distribution {P(xi)} and the average distor...

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Problems solved by technology

For example, in U.S. Patent No.6,366,704, No.6,356,668, No.6,212,302, No.6,037,987, No.6,072,831 and No.6,167,162, when solving the problem of coding bit rate control, the coding bit rate-distortion model based on quantization parameters is adopted , these models are either relatively simple, using second-order polynomials of quantization parameters to approximate the nonlinear coding bit rate function, so that its accuracy is limited; or very complex, using high-order polynomials to describe the nonlinear coding bit rate function, making it accurate The performance is improved, but the computational complexity is very high, it is difficult to apply to the actual coding system

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