Rate control bit allocation method based on video content features and storage medium

Abstract

The invention discloses a rate control bit allocation method based on video coding and a storage medium, and the method comprises the steps: firstly carrying out the statistics of the statistical characteristics of a to-be-coded video frame for a frame layer, calculating the information entropy of the to-be-coded frame, calculating a parameter adjustment factor of the to-be-coded frame according to the fixed weight of the frame layer in a rate control algorithm, constructing a new frame layer bit allocation weight according to the information entropy and the parameter adjustment factor, wherein the new frame layer bit allocation weight is used for guiding target bit allocation of the frame layer; and for a CTU layer, evaluating texture complexity and motion features of CTUs of a frame to be coded, calculating an energy ratio factor and a prediction residual energy ratio factor of each CTU in the frame, calculating a feature quantization weighting coefficient, and then constructing a new CTU layer bit allocation weight for guiding target bit allocation of the CTU layer. According to the invention, more reasonable bit distribution of the frame layer and the CTU layer can be realized, the code rate control precision can be improved, the video coding quality can be improved, and the method can be applied to video encoders such as H.265 / HEVC and H.266 / VVC.

Description

technical field [0001] The invention belongs to the field of video coding, and more specifically relates to a rate control bit allocation method based on video content characteristics. Background technique [0002] Video is the main carrier of information in people's life and work. As people's demand for consumer video such as high resolution and high color saturation increases, high definition, ultra high definition and high dynamic range videos have begun to be widely used, and digital video has shifted from the current 720P to 1080P, and even 4K×2K , At present, 8K × 4K video technology is also under development. The frame rate of digital video has been increased from 30fps to 60fps and 120fps, even towards the goal of 240fps. The wide application of high-definition and high-frame-rate video has led to explosive growth in video data traffic. For example, the frame rate of 30fps, resolution 1920×1080, and 8-bit RGB color high-definition video have a data volume of up to ...

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Problems solved by technology

[0024] From the above, it can be seen that the existing rate control algorithm does not fully consider the impact of the target bit of the frame layer on the bit allocation of the CTU layer and the coding characteristics of the video encoder itself, nor does it fully consider the texture features and temporal prediction information of each frame. and video content characteristics, resulting in unreasonable bit allocation and poor rate-distortion performance

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