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基于梯度的帧内自适应深度决策算法
施正城1, 张倩1, 景瑞海1, 崔鹏涛1, 王斌1, 严涛2, 黄继风1
1.上海师范大学 信息与机电工程学院, 上海 200234;2.九江学院 信息科学与技术学院, 江西 332005
摘要:
提出了一种基于梯度的帧内候选模式裁剪算法,通过自适应深度划分并利用空间信息来简化帧内预测过程,大大减少了计算复杂度.实验结果显示,所提出的算法对比HM16.7,可以减少35.25%的计算复杂度,且只有极小的编码效率损失.
关键词:  高效率视频编码  高清、超高清视频  快速算法  帧内预测
DOI:10.3969/J.ISSN.1000-5137.2018.02.019
分类号:TN919.8
基金项目:国家自然科学基金(61741111);上海市自然科学基金(15ZR1431500,15ZR1430400)
Gradient-based and intra-frame adaptive depth decision algorithm
Shi Zhengcheng1, Zhang Qian1, Jing Ruihai1, Cui Pengtao1, Wang Bin1, Yan Tao2, Huang Jifeng1
1.The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China;2.School of Information Science and Technology, Jiujiang University, Jiangxi 332005, China
Abstract:
To reduce this computational complexity,agradient-based clipping algorithm for intra-frame candidatemode is proposed,which simplifies the intra prediction process by adaptive deep division and spatial information usage.Experimental results show that the proposed algorithm reduces the computational complexity by 35.25% compared with HM16.7 with only mininal loss of coding efficiency.
Key words:  high efficiency video coding  high definition,ultra high definition video  fast algorithm  intra prediction