Title
One-pass mode decision for low-complexity and high-efficiency encoding of quality scalable video
Abstract
This paper presents a novel one-pass mode decision algorithm for encoding multiple quality layers, following the coarse grain scalability coding structure in the H.264/SVC standard. In our solution, motion estimation (ME) is carried out only once at the base layer using the reconstructed picture from the highest enhancement layer. The same motion vectors are used for all layers to not only avoid multiple ME processes at different layers, but also save the overhead bits. In addition, early SKIP/DIRECT mode decision is introduced to further boost the encoding speed. The encoder produces fully compliant SVC bit streams. Although the method is applicable to both coarse grain scalability (CGS) and medium grain scalability (MGS), we have examined its performance over CGS only. We demonstrate that more than 2x speedup for three-layer coding against the conventional H.264/SVC encoding using the reference software over 7 test sequences. Significantly, this complexity saving is achieved simultaneously with increase in the coding efficiency! Although the base layer requires slightly higher bit rate (2.5% in terms of the BD-Rate), the enhancement layers enjoy lower rates (5.7% and 2.2% reduction for the total of two and three layers, respectively), on average of 7 test sequences.
Year
DOI
Venue
2013
10.1109/ICMEW.2013.6618322
ICME Workshops
Keywords
Field
DocType
one-pass mode decision algorithm,h.264/svc,mode decision,coarse grain scalability coding structure,svc bit streams,reference software,low-complexity encoding,medium grain scalability,skip-direct mode decision,quality scalable video encoding,encoding speed,h.264/svc standard,motion vectors,motion estimation,low complexity encoder,cgs,video coding,enhancement layer,decision theory,high-efficiency encoding,three-layer coding,mgs,image enhancement,picture reconstruction,video codecs,encoding,vectors
Computer science,Direct mode,Real-time computing,Coding (social sciences),Artificial intelligence,Motion estimation,Speedup,Algorithmic efficiency,Pattern recognition,Algorithm,Encoder,Scalability,Encoding (memory)
Conference
ISSN
Citations 
PageRank 
2330-7927
1
0.35
References 
Authors
4
2
Name
Order
Citations
PageRank
Meng Xu1644.95
Yao Wang23757312.89