Fast Intra Coding Unit Size Decision for HEVC With GPU Based Keypoint Detection

被引：0

作者：

Luo, Falei ^{[1
,2
,3
]}

Wang, Shanshe ^{[2
,3
]}

Ma, Siwei ^{[2
,3
,4
]}

Zhang, Nan ^{[5
]}

Zhou, Yun ^{[6
]}

Gao, Wen ^{[1
,2
,3
,4
]}

机构：

[1] Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China

[2] Peking Univ, Inst Digital Media, Beijing, Peoples R China

[3] Peking Univ, Cooperat Medianet Innovat Ctr, Beijing, Peoples R China

[4] Peking Univ, Shenzhen Grad Sch, Shenzhen, Peoples R China

[5] Capital Med Univ, Sch Biomed Engn, Beijing, Peoples R China

[6] Acad Broadcasting Sci, Beijing, Peoples R China

来源：

2017 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) | 2017年

基金：

北京市自然科学基金; 中国国家自然科学基金;

关键词：

HEVC; GPU; CU; Keypoint detection; Fast encoding; MOTION ESTIMATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a fast intra Coding Unit (CU) size decision framework based on keypoint detection on Graphic Processing Unit (GPU) is proposed. In this framework, firstly the original frames are sent to GPU and then keypoint detection is conducted with numerous threads, which is able to avoid bringing in additional computational complexity even in realtime systems. Then, based on the keypoint distribution, whether to split the CU to the next coding depth is efficiently predicted. Experiments show that the proposed algorithm can achieve over 25% time saving under all intra (AI) configuration with ignorable performance loss.

引用

页码：160 / 163

页数：4

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Min, Biao ;

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2015, 25 (05) :892-896

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