Title
Fast Intra Mode Decision for High Efficiency Video Coding (HEVC)
Abstract
The latest High Efficiency Video Coding (HEVC) standard only requires 50% bit-rate of the H.264/AVC at the same perceptual quality, but with a significant encoder complexity increase. Hence, it is necessary and inevitable to develop fast HEVC encoding algorithms for its potential market adoption. In this paper, we propose a fast intra mode decision for the HEVC encoder. The overall fast intra mode decision algorithm consists of both micro- and macro-level schemes. At the micro-level, we propose the Hadamard cost-based progressive rough mode search (pRMS) to selectively check the potential modes instead of traversing all candidates (i.e., up to 35 in HEVC). Fewer effective candidates will be chosen by the pRMS for the subsequent rate-distortion optimized quantization (RDOQ) to derive the rate-distortion (R-D) optimal mode. An early RDOQ skip method is also introduced to further the complexity reduction. At the macrolevel, we introduce the early coding unit (CU) split termination if the estimated R-D cost [through aggregated R-D costs of (partial) sub-CUs] is already larger than the R-D cost of the current CU. On average, the proposed fast intra mode decision provides about 2.5 × speedup (without any platform or source code level optimization) with just a 1.0% Bjontegaard delta rate (BD-rate) increase using the HEVC common test condition. Moreover, our proposed solution also demonstrates the state-of-the-art performance in comparison with other works.
Year
DOI
Venue
2014
10.1109/TCSVT.2013.2290578
IEEE Trans. Circuits Syst. Video Techn.
Keywords
Field
DocType
h.264/avc,mode decision,rate-distortion optimal mode,high efficiency video coding (hevc),intra prediction,video coding,rdoq skip method,high efficiency video coding,coding unit split termination,fast intra mode decision algorithm,subsequent rate-distortion optimized quantization,fast hevc encoding algorithm,rate distortion theory,complexity reduction,hadamard cost-based progressive rough mode search,prediction algorithms,encoding
Computer science,Source code,Real-time computing,Artificial intelligence,Rate–distortion theory,Speedup,Pattern recognition,Algorithm,Reduction (complexity),Encoder,Quantization (signal processing),Hadamard transform,Encoding (memory)
Journal
Volume
Issue
ISSN
24
4
1051-8215
Citations 
PageRank 
References 
88
2.79
18
Authors
2
Name
Order
Citations
PageRank
Hao Zhang1913.51
Zhan Ma257645.61