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Fast Algorithm and VLSI Architecture of Rate Distortion Optimization in H.265/HEVC
- Source :
- IEEE Transactions on Multimedia. 19:2375-2390
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- In H.265/high efficiency video coding (HEVC) encoding, rate distortion optimization (RDO) is an important cost function for mode decision and coding structure decision. Despite being near-optimum in terms of coding efficiency, RDO suffers from a high complexity. To address this problem, this paper presents a fast RDO algorithm and its very large scale implementation (VLSI) for both intra- and inter-frame coding. The proposed algorithm employs a quantization-free framework that significantly reduces the complexity for rate and distortion optimization. Meanwhile, it maintains a low degradation of coding efficiency by taking the syntax element organization and probability model of HEVC into consideration. The algorithm is also designed with hardware architecture in mind to support an efficient VLSI implementation. When implemented in the HEVC test model, the proposed algorithm achieves 62% RDO time reduction with 1.85% coding efficiency loss for the “all-intra” configuration. The hardware implementation achieves 1.6 × higher normalized throughput relative to previous works, and it can support a throughput of 8k@30fps (for four fine-processed modes per prediction unit) with 256 k logic gates when working at 200 MHz.
- Subjects :
- Hardware architecture
Vlsi architecture
Computer science
Real-time computing
030229 sport sciences
02 engineering and technology
Computer Science Applications
03 medical and health sciences
0302 clinical medicine
Computer engineering
Rate–distortion optimization
Distortion
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
Media Technology
020201 artificial intelligence & image processing
Algorithm design
Electrical and Electronic Engineering
Subjects
Details
- ISSN :
- 19410077 and 15209210
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Multimedia
- Accession number :
- edsair.doi...........3c1ca7227f12564212127a0a76b22a3f
- Full Text :
- https://doi.org/10.1109/tmm.2017.2700629