Title
A rate-distortion optimization model for SVC inter-layer encoding and bitstream extraction
Abstract
The Scalable Video Coding (SVC) standard enables viewing devices to adapt their video reception using bitstream extraction. Since SVC offers spatial, temporal, and quality combined scalability, extracting proper bitstreams for different viewing devices can be a non-trivial task, and naive choices usually produce poor playback quality. In this paper, we propose a two-prong approach to achieve rate-distortion (R-D) optimal extraction of SVC bitstreams. For SVC encoding, we developed a set of adaptation rules for setting the quantization parameters and the inter-layer dependencies among the SVC coding layers. A well-adapted SVC bitstream thus produced manifests good R-D trade-offs when its scalable layers are extracted along extraction paths consisting of successive refinement steps. For extracting R-D optimized bitstreams for different viewing devices, we formalized the notion of optimal and near-optimal extraction paths and devised computationally efficient strategies to search for the extraction paths. Experiment results demonstrated that our R-D optimized adaptation schemes and extraction strategies offer significant improvement in playback picture quality among heterogeneous viewing devices. Particularly, our adaptation rules promise R-D convexity along optimal extraction paths and permit the use of steepest-descent strategy to discover the optimal/near-optimal paths. This simple search strategy performs only half of the computation necessary for an exhaustive search.
Year
DOI
Venue
2008
10.1016/j.jvcir.2008.08.002
J. Visual Communication and Image Representation
Keywords
Field
DocType
rate-distortion optimization model,svc coding layer,optimal extraction path,adaptation rule,different viewing device,near-optimal extraction path,extraction strategy,svc inter-layer encoding,svc bitstreams,bitstream extraction,extraction path,optimal extraction,steepest descent,exhaustive search,scalable video coding,rate distortion optimization
Computer science,Image quality,Real-time computing,Artificial intelligence,Computer engineering,Rate–distortion optimization,Scalable Video Coding,Pattern recognition,Brute-force search,Bitstream,Quantization (signal processing),Encoding (memory),Scalability
Journal
Volume
Issue
ISSN
19
8
1047-3203
Citations 
PageRank 
References 
8
0.68
14
Authors
5
Name
Order
Citations
PageRank
Wen-Hsiao Peng120933.15
John K. Zao217625.25
Hsueh-Ting Huang380.68
Tse-Wei Wang4182.86
Lin-Shung Huang51579.51