Fast CU partitioning and intra-frame decision method for H.266/VVC

Abstract

The invention provides a quick CU partitioning and intra-frame decision-making method for H.266 / VVC. The method comprises the steps: firstly, calculating the texture complexity of a current CU throughemploying a standard deviation, and dividing the current CU into a smooth region, a common region or a complex region according to the texture complexity; secondly, encoding the smooth region and thecommon region by using an original prediction mode, and outputting optimal intra-frame mode prediction; utilizing a random forest classifier model to classify the complex region; and finally, performing intra-frame mode prediction on the complex region by using a quick intra-frame prediction mode optimization method based on texture region features, and outputting an optimal intra-frame mode. According to the invention, the intra-frame coding prediction is carried out on the CU through the fast intra-frame prediction mode optimization method based on the random forest classifier and the texture region features, the optimal intra-frame coding mode is obtained, the calculation of more than half of the coding mode can be reduced, the calculation complexity is reduced, and the coding time issaved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a fast CU partition and intra-frame decision-making method for H.266 / VVC. Background technique [0002] With the rise of video applications such as 4K / 8K Ultra High Definition (UHD), the amount of video data has surged, placing higher demands on encoding technology. The Motion Picture Experts Group (MPEG) and the Video Coding Experts Group (VCEG) established the Joint Video Exploration Team (JVET) to be responsible for the development of the next-generation video coding standard-H.266 / VVC project. As of early 2020, JVET has released the latest version of the H.266 / VVC Video Test Model (VTM8.0). Compared with the H.265 / HEVC reference software HM, H.266 / VVC can keep the subjective visual quality unchanged and improve the coding efficiency by about 40%. [0003] Since H.266 / VVC introduces a multi-type tree structure (MTT) including a binary tree and a ternary tree structu...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the technical problem of high computational complexity in existing coding methods, the present invention proposes a fast CU partition and intra-frame decision-making method for H.266 / VVC. First, the CU is classified using the RFC model based on the random forest classifier , and then according to the classification results, use the fast intra prediction mode optimization method based on texture region features to perform intra coding prediction on the CU, and obtain the optimal intra coding mode, which reduces the computational complexity and saves coding time

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