无线电工程2024，Vol.54Issue(10)：2333-2338,6.DOI:10.3969/j.issn.1003-3106.2024.10.007
基于长边稀疏采样的AV1参考像素选择算法
AV1 Reference Pixel Selection Algorithm Based on Long-side Sparse Sampling
摘要
Abstract
As a new generation of open video coding technology,Alliance for Open Media Video 1(AV1)has become one of the mainstream coding standards in online video field because of its high compression efficiency and superior-quality video output.The intra-frame prediction coding technology is optimized to diminish the computational complexity of coding operations,thereby saving video coding time.To achieve this objective,two new reference pixel selection methods called Long-side Sampling(LS)and Long-side Sparse Sampling(LSS)are proposed,which systematically extract key reference pixels based on a block partitioning scheme to improve the performances of Direct Current(DC)and Chroma from Luma(CfL)prediction techniques.Experimental results show that LSS can avoid division operations and significantly cut off addition computations.Compared with the original algorithm,the proposed LSS algorithm attains 11％and 13％reduction in average coding time,0.03％and 0.04％Bjøntegaard Delta Bit Rate(BDBR)saving under All Intra(AI)and Random Access(RA)configurations,respectively.关键词
视频编码/开放媒体联盟开发的第一代视频编码标准/帧内预测/直流预测/亮度预测色度Key words
video coding/AV1/intra frame prediction/DC prediction/CfL分类
信息技术与安全科学引用本文复制引用
黄婉溦,汪家华,刘昌沭,陈建..基于长边稀疏采样的AV1参考像素选择算法[J].无线电工程,2024,54(10):2333-2338,6.基金项目
国家自然科学基金(62001117) （62001117）
福州大学大学生创新创业训练计划项目(29218)National Natural Science Foundation of China(62001117) （29218）
Innovation and Entrepreneurship Training Programme for College Students at Fuzhou University(29218) （29218）
