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논문 기본 정보

자료유형
학술저널
저자정보
Bumho Kim (Electronics and Telecommunications Research Institute(ETRI)) Jeong-Woo Lee (Electronics and Telecommunications Research Institute(ETRI)) Yeon-Jeong Jeong (Electronics and Telecommunications Research Institute(ETRI)) Ki-Song Yoon (Electronics and Telecommunications Research Institute(ETRI))
저널정보
한국정보기술학회 JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE, VOL. 3, NO. 2
발행연도
2013.12
수록면
41 - 51 (11page)
DOI
10.14801/JAITC.2013.3.2.41

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초록· 키워드

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The Emerging High Efficiency Video Coding (HEVC) standard offers a significantly better compression rate and higher video quality. HEVC encoders create very high CPU demand, and it is hard for a single core computer to deal with such complex coding computations. To process the high workload of HEVC coding for large-scale video data, the current HEVC draft contains several parallelizing approaches: tile-based parallelization and WPP-level parallelization. In this paper, we adopt additional data parallelism, GOP partitioning, to implement a parallel encoder. We propose the scalable cluster architecture of the HEVC encoder to achieve scalability and a high encoding speed by combining two levels of parallelism, GOP-level parallelism and the HEVC parallel method. The proposed scheme can reduce the large encoding time and significantly improve the coding efficiency. The proposed scalable cluster system is very suitable for high-resolution video such as 4K or 8K containing large amounts of video data.

목차

Abstract
1. Instruction
2. Parallel Approaches
3. System Model
4. Simulation Results
5. Conclusion
References

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