Title
uAVS2—Fast encoder for the 2nd generation IEEE 1857 video coding standard
Abstract
The recently issued second generation IEEE 1857 video coding standard (AVS2) provides a doubling in coding efficiency relative to previous standards such as H.264/AVC and AVS1. The coding performance improvement is mainly due to the adoption of advanced coding tools. However, these coding tools also cause a dramatic increase in computational complexity. A fast encoder design for AVS2 is strongly demanded to promote it being widely used in video compression practice. In this paper, we propose a fast encoder design for AVS2. In our design, we propose a new quantization step (QStep) dependent fast CU depth decision algorithm for inter frames, and a combination strategy to integrate fast algorithms in different coding Presets to get a good trade-off between coding speed and coding efficiency. In addition, instruction optimization, parallel coding and some coding flow optimizations are also used in our design. According to the proposed design, we developed the first fast AVS2 encoder, and named it as uAVS2. Experimental results show that uAVS2 is 56.58 times faster than the AVS2 reference software, and 19.32 times faster than the HEVC reference software, with negligible performance loss. uAVS2 is 2.7–6.6 times faster than the well-known fast HEVC encoder x265 under similar coding performance configurations. Under similar coding speed, the coding performance of uAVS2 is superior to x265 by 10–30% in BD-rate. uAVS2 with the highest speed Preset can encode 1080P video in real-time on PC platform.
Year
DOI
Venue
2017
10.1016/j.image.2017.01.006
Signal Processing: Image Communication
Keywords
Field
DocType
IEEE 1857,AVS2,Video encoder,Fast algorithm,HEVC
Coding tree unit,Context-adaptive variable-length coding,Computer science,Multiview Video Coding,Theoretical computer science,Encoder,Harmonic Vector Excitation Coding,Quantization (signal processing),Data compression,Context-adaptive binary arithmetic coding
Journal
Volume
ISSN
Citations 
53
0923-5965
0
PageRank 
References 
Authors
0.34
34
5
Name
Order
Citations
PageRank
Wang Zhenyu1126.10
Ronggang Wang213436.57
Fan Kui3125.81
Huifang Sun41337.25
Wen Gao511374741.77