NDLI: Efficient early termination and bypass scheme for CU size decision in spatially scalable SHVC intra coding

Content Provider	IET Digital Library
Author	Lu, Xin Yu, Chang Martin, Graham R.
Abstract	As an extension of the High Efficiency Video Coding standard, Scalable High-efficiency Video Coding (SHVC) has been developed to satisfy the challenges posed by heterogeneous environments. A layer-based scheme is employed to support various forms of scalability, but this results in significantly increased computational complexity. A fast Coding Unit (CU) size decision algorithm is proposed to alleviate the additional computational requirement of the Enhancement Layers (ELs). The inter-layer dependency and the spatial correlation are jointly used to skip and early terminate the CU size decision process. In addition, the quantitive relationship between the texture homogeneity and the AC coefficient energy is investigated to further narrow the depth range to be evaluated. Experimental results show that the proposed scheme saves encoding time by up to 72% compared with the SHM 12.0 implementation, with negligible degradation in Rate-Distortion performance.
Starting Page	1274
Ending Page	1276
Page Count	3
ISSN	00135194
Volume Number	54
e-ISSN	1350911X
Issue Number	Issue 22, Nov (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/54/22
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2018.5451
Journal	Electronics Letters
Publisher Date	2018-09-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Base Layer Computational Complexity CU Size Decision Process Decision Theory Efficient Early Termination Enhancement Layer Fast Coding Unit Size Decision Algorithm Game Theory Heterogeneous Environments High Efficiency Video Coding Standard Image And Video Coding Increased Computational Complexity Inter-layer Dependency Scalable High-efficiency Video Coding Spatial Correlation Spatially Scalable SHVC Intra Coding Video Coding Video Signal Processing
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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