.png){kind=icon}
返回
Novel skip motion estimation for efficient inter coding in HEVC
.png){kind=icon}
PRE
AI
DOI：10.1007/s11042-020-09945-9.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Video coding is necessary to transmit large amounts of video information. HEVC, which is the latest video coding standard, includes many advanced tools to achieve higher coding efficiency than previous standards, such as MPEG-1/2/4 and H.264/AVC. In particular, new techniques in inter prediction, such as skip, merge, and advanced motion vector prediction (AMVP) modes, drastically improve coding performance by reducing temporal redundancies between consecutive frames within a video. However, the skip mode, which does not perform a motion estimation, can deteriorate the coding performance, because of inaccurate motion vector prediction in videos with fast and complex motions. In order to solve this problem, a novel skip motion estimation method is proposed for efficient inter coding in HEVC. Unlike the conventional skip mode, the proposed skip mode performs the motion estimation, and then transmits the associated motion information. Experimental results demonstrate that the proposed method achieves the high coding performance with the low decoding complexity.
Keyword:
HEVC
Motion estimation
Skip mode
Inter coding
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:
3
论文数:
2.0W
被引数:
3.2W
机构
引用论文
A brief survey of machine learning methods and their sensor and IoT applications.png)
2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA)
2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA)IF0
PREAI
分享收藏分享收藏分享收藏
查看更多内容