{"title":"An Intra Coding Algorithm Of HEVC That Suitable For VLSI Implementation","authors":"ShiKai Zuo, Yijun Cai, Xindong Huang, Hai-feng Lin, Rongrong Guo, Chen Wang","doi":"10.1109/COMPEM.2019.8778892","DOIUrl":null,"url":null,"abstract":"The video coding algorithm of HEVC is complex and hard to realization in VLSI. In order to reduce the coding algorithm complexity, we propose the intra-prediction algorithm based on the texture features and spatio-temporal correlation of PU. According to the PU feature which in the same position of previous frame, we can quickly decide the coding unit size, reduce the number of the corresponding texture prediction model, and speed up the process of intra-prediction. Algorithm can through the same parameters to estimate the code unit texture intensity and texture direction, thus reducing the additional computation quantity. The simulation results show that, under the conditions of the small increase in the code rate and small decrease of the peak signal-to-noise ratio, the coding time of the intra coding algorithm reduces by 43.23%, compared with HEVC reference software.","PeriodicalId":342849,"journal":{"name":"2019 IEEE International Conference on Computational Electromagnetics (ICCEM)","volume":"218 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Computational Electromagnetics (ICCEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPEM.2019.8778892","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The video coding algorithm of HEVC is complex and hard to realization in VLSI. In order to reduce the coding algorithm complexity, we propose the intra-prediction algorithm based on the texture features and spatio-temporal correlation of PU. According to the PU feature which in the same position of previous frame, we can quickly decide the coding unit size, reduce the number of the corresponding texture prediction model, and speed up the process of intra-prediction. Algorithm can through the same parameters to estimate the code unit texture intensity and texture direction, thus reducing the additional computation quantity. The simulation results show that, under the conditions of the small increase in the code rate and small decrease of the peak signal-to-noise ratio, the coding time of the intra coding algorithm reduces by 43.23%, compared with HEVC reference software.