Title
SSIM-based adaptive quantization in HEVC
Abstract
HEVC is an emerging video coding standard that can achieve significant compression gains compared to H.264/AVC due to the inclusion of numerous new coding tools. In particular, it allows for a flexible quadtree based block partitioning of each coding tree unit (CTU) and an ability to switch quantization parameters (QP) on a sub-CTU level. In this paper, we present an approach for selecting quantization parameters for each block of pixels on the basis of optimizing the SSIM of the entire picture. Our simulation results show that when SSIM is the quality metric, the proposed approach is able to give average BD-Rate gains of 5.5% to 7.4% compared to using a constant QP per picture while having a negligible increase in encoding runtime. In addition, our proposed method also significantly outperforms the MPEG-2 TM5 adaptive quantization algorithm implemented in the HEVC reference software.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6637940
ICASSP
Keywords
Field
DocType
h.264/avc,quadtrees,encoding runtime,ssim-based adaptive quantization,ssim,compression gains,new coding tools,rate distortion optimization,adaptive quantization,quantisation (signal),encoding,switch quantization parameters,video coding standard,subctu level,hevc,video coding,quality metric,hevc reference software,average bd-rate gains,flexible quadtree based block partitioning,mpeg-2 tm5 adaptive quantization algorithm,coding tree unit,transform coding,measurement
Pattern recognition,Coding tree unit,Context-adaptive variable-length coding,Computer science,Multiview Video Coding,Vector quantization,Artificial intelligence,Quantization (signal processing),Context-adaptive binary arithmetic coding,Quadtree,Encoding (memory)
Conference
ISSN
Citations 
PageRank 
1520-6149
12
0.72
References 
Authors
6
3
Name
Order
Citations
PageRank
Chuohao Yeo169242.48
Hui Li Tan2767.42
Yih Han Tan314013.87