.png){kind=icon}
返回
Mode Decision-Based Algorithm for Complexity Control in H.264/AVC
.png){kind=icon}
OA
AI
DOI：10.1109/TMM.2013.2241414.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The latest H.264/AVC video coding standard achieves high compression rates in exchange for high computational complexity. Nowadays, however, many application scenarios require the encoder to meet some complexity constraints. This paper proposes a novel complexity control method that relies on a hypothesis testing that can handle time-variant content and target complexities. Specifically, it is based on a binary hypothesis testing that decides, on a macroblock basis, whether to use a low-or a high-complexity coding model. Gaussian statistics are assumed so that the probability density functions involved in the hypothesis testing can be easily adapted. The decision threshold is also adapted according to the deviation between the actual and the target complexities. The proposed method is implemented on the H.264/AVC reference software JM10.2 and compared with a state-of-the-art method. Our experimental results prove that the proposed method achieves a better trade-off between complexity control and coding efficiency. Furthermore, it leads to a lower deviation from the target complexity.
Keyword:
Complexity control
H.264/AVC
hypothesis testing
mode decision
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.7
论文数:
4.5K
被引数:
2.4W
机构
引用论文
Platelet transfusion in thrombotic thrombocytopenic purpura: between Scylla and Charybdis.png)
Transfusion
TransfusionIF0
PREAI
分享收藏
分享收藏An Adaptive Algorithm for Fast Inter Mode Decision in the H.264/AVC Video Coding StandardH.264/AVC视频编码标准中快速帧间模式选择的自适应算法
PREAI
分享收藏
查看更多内容