SKIP mode quickly selecting method based on Bayesian minimum hazard decision

Abstract

The invention provides a SKIP mode quickly selecting method based on Bayesian minimum hazard decision. The SKIP mode quickly selecting method based on Bayesian minimum hazard decision comprises the concrete steps of taking the rate-distortion cost of the SKIP mode of a current coding unit as decision features to count and learn first four frames, and for different quantization parameters and different coding unit depths, performing non-parametric probability density estimation to obtain the conditional probability distribution of the decision features in an optimal SKIP mode and an optimal non-SKIP mode; based on the statistical information of online learning, utilizing a Bayesian minimum hazard model to discriminate the SKIP mode of surplus frames in advance. The SKIP mode quickly selecting method based on Bayesian minimum hazard decision can rapidly achieve SKIP mode discrimination under the condition of ensuring the coding performance, thereby skipping predictive coding mode computation, effectively reducing the coding complexity of an HEVC (high efficiency video coding) encoder and facilitating implementation of real-time application of the HEVC encoder.

Description

technical field [0001] The invention relates to the technical field of video coding, in particular to a fast selection of SKIP mode based on Bayesian minimum risk decision-making. Background technique [0002] With the rapid development of science and technology, people have higher and higher requirements for visual and audio quality, and high-definition video and ultra-high-definition video have begun to receive widespread attention. HEVC is a new generation of video compression standard and is regarded as the successor of the ITU-TH.264 / MPEG-4 AVC standard. It was developed by ISO / IEC Moving Picture Experts Group (MPEG) and ITU-T Video Coding Experts Group (VCEG) in 2004, and officially became an international video coding standard on January 26, 2013. HEVC is considered to not only improve image quality, but also achieve twice the compression rate of H.264 / MPEG-4 AVC, that is, the bit rate is reduced by 50% under the same image quality. [0003] As a new-generation vide...

AI Technical Summary

Problems solved by technology

In order to get the best coding performance, all CUs use recursive traversal to find the best coding mode. During this process, Rate-Distortion Optimization (RDO) technology will be used to get the best performance, but this will bring great Computational complexity of

Images