Fast CU Size Decisions for HEVC Intra Frame Coding Based on Support Vector Machines
High Efficiency Video Coding (HEVC) achieves themost significant coding efficiency compared with all the existingvideo coding standards. However, the Intra encoding complexityis increased dramatically since the complex recursive searchalgorithm for the coding unit (CU) size decisions. In this paper, afast CU size decision algorithm based on Support Vector Machines(SVM) is proposed to further alleviate the encoder computationload. Firstly, some effective image features are extracted to judgethe CU complexity. Then, a three classifier structure of CU sizedecisions is established based on SVM. The experimental resultsshow that the proposed algorithm can reduce 53% intra codingtime on average with 1.2% BDBR loss on average
2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)