中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Complexity-constrained h.264 video encoding

文献类型:期刊论文

作者Su, Li1; Lu, Yan2; Wu, Feng2; Li, Shipeng2; Gao, Wen3
刊名Ieee transactions on circuits and systems for video technology
出版日期2009-04-01
卷号19期号:4页码:477-490
关键词Complexity control H.264/avc Power consumption Real-time video coding
ISSN号1051-8215
DOI10.1109/tcsvt.2009.2014017
通讯作者Su, li(lsu@jdl.ac.cn)
英文摘要In this paper, a joint complexity-distortion optimization approach is proposed for real-time h.264 video encoding under the power-constrained environment. the power consumption is first translated to the encoding computation costs measured by the number of scaled computation units consumed by basic operations. the solved problem is then specified to be the allocation and utilization of the computational resources. a computation allocation model (cam) with virtual computation buffers is proposed to optimally allocate the computational resources to each video frame. in particular, the proposed cam and the traditional hypothetical reference decoder model have the same temporal phase in operations. further, to fully utilize the allocated computational resources, complexity-configurable motion estimation (came) and complexity-configurable mode decision (camd) algorithms are proposed for h.264 video encoding. in particular, the came is performed to select the path of motion search at the frame level, and the camd is performed to select the order of mode search at the macroblock level. based on the hierarchical adjusting approach, the adaptive allocation of computational resources and the fine scalability of complexity control can be achieved.
WOS关键词RATE-DISTORTION ANALYSIS ; POWER ; COMMUNICATION ; OPTIMIZATION ; SYSTEM
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
语种英语
WOS记录号WOS:000266409300003
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
URI标识http://www.irgrid.ac.cn/handle/1471x/2398449
专题中国科学院大学
通讯作者Su, Li
作者单位1.Chinese Acad Sci, Grad Sch, Beijing 100080, Peoples R China
2.Microsoft Res Asia, Beijing 100080, Peoples R China
3.Peking Univ, Sch Elect Engn & Comp Sci, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Su, Li,Lu, Yan,Wu, Feng,et al. Complexity-constrained h.264 video encoding[J]. Ieee transactions on circuits and systems for video technology,2009,19(4):477-490.
APA Su, Li,Lu, Yan,Wu, Feng,Li, Shipeng,&Gao, Wen.(2009).Complexity-constrained h.264 video encoding.Ieee transactions on circuits and systems for video technology,19(4),477-490.
MLA Su, Li,et al."Complexity-constrained h.264 video encoding".Ieee transactions on circuits and systems for video technology 19.4(2009):477-490.

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来源:中国科学院大学

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