Hardware Oriented Low-Complexity Intra Coding Algorithm for SHVC
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- KATAYAMA Takafumi
- Department of Electrical and Electronics Engineering, The University of Tokushima
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- SONG Tian
- Department of Electrical and Electronics Engineering, The University of Tokushima
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- SHI Wen
- Department of Electrical and Electronics Engineering, The University of Tokushima
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- FUJITA Gen
- Department of Engineering Informatics, Osaka Electro-Communication University
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- JIANG Xiantao
- Department of Electrical and Electronics Engineering, The University of Tokushima
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- SHIMAMOTO Takashi
- Department of Electrical and Electronics Engineering, The University of Tokushima
Abstract
<p>Scalable high efficiency video coding (SHVC) can provide variable video quality according to terminal devices. However, the computational complexity of SHVC is increased by introducing new techniques based on high efficiency video coding (HEVC). In this paper, a hardware oriented low complexity algorithm is proposed. The hardware oriented proposals have two key points. Firstly, the coding unit depth is determined by analyzing the boundary correlation between coding units before encoding process starts. Secondly, the redundant calculation of R-D optimization is reduced by adaptively using the information of the neighboring coding units and the co-located units in the base layer. The simulation results show that the proposed algorithm can achieve over 62% computation complexity reduction compared to the original SHM11.0. Compared with other related work, over 11% time saving have been achieved without PSNR loss. Furthermore, the proposed algorithm is hardware friendly which can be implemented in a small area.</p>
Journal
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- IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E100.A (12), 2936-2947, 2017
The Institute of Electronics, Information and Communication Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390282681291464192
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- NII Article ID
- 130006236501
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- ISSN
- 17451337
- 09168508
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed