| 基于梯度的帧内自适应深度决策算法 |
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| 引用本文： | 施正城,张倩,景瑞海,崔鹏涛,王斌,严涛,黄继风.基于梯度的帧内自适应深度决策算法[J].上海师范大学学报(自然科学版),2018,47(2):248-252. |
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| 作者姓名： | 施正城 张倩 景瑞海 崔鹏涛 王斌 严涛 黄继风 |
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| 作者单位： | 上海师范大学信息与机电工程学院;九江学院信息科学与技术学院 |
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| 基金项目： | 国家自然科学基金（61741111）；上海市自然科学基金（15ZR1431500，15ZR1430400） |
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| 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.
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| 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 |
| 收稿时间： | 2017/11/28 0:00:00 |
Gradient-based and intra-frame adaptive depth decision algorithm |
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| Shi Zhengcheng,Zhang Qian,Jing Ruihai,Cui Pengtao,Wang Bin,Yan Tao and Huang Jifeng.Gradient-based and intra-frame adaptive depth decision algorithm[J].Journal of Shanghai Normal University(Natural Sciences),2018,47(2):248-252. |
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| Authors: | Shi Zhengcheng Zhang Qian Jing Ruihai Cui Pengtao Wang Bin Yan Tao and Huang Jifeng |
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| Institution: | The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China,The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China,The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China,The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China,The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China,School of Information Science and Technology, Jiujiang University, Jiangxi 332005, China and The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China |
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| 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. |
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| Keywords: | high efficiency video coding high definition ultra high definition video fast algorithm intra prediction |
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