Title
SNR scalability based on bitplane coding of matching pursuit atoms at low bit rates: fine-grained and two-layer
Abstract
Because channel capacity varies depending on network traffic and the capacity of each reception, fine granularity scalability (FGS) of video coding has emerged as an important area in multimedia streaming applications. We propose an FGS video codec and a two-layer signal-to-noise ratio (SNR) scalable video codec, based on matching pursuits and bitplane coding. The temporal and spatial redundancy of atom positions between adjacent bitplanes are explored using the quadtree representation for a bitplane and the quadtree prediction algorithm. The efficiency of encoding atom positions is evaluated. Our FGS combines successive bitplane quantization of atom modula and quadtree prediction of atom positions. The performance of our FGS is compared with that of the discrete-cosine-transform-based FGS codec. The quality of a base layer or enhancement layer video in a two-layer scalable video codec can be adjusted without changing the bit rates. We propose using a combined frame obtained from the combination of the reconstructed base layer and enhancement layer images to estimate motion vectors. The performance of our two-layer codec is illustrated.
Year
DOI
Venue
2005
10.1109/TCSVT.2004.839997
IEEE Trans. Circuits Syst. Video Techn.
Keywords
Field
DocType
atom modula,fgs video codec,base layer,fine granularity scalability (fgs),video codec,quadtrees,network traffic,streaming,bitplane coding,motion vector estimation,two-layer signal-to-noise ratio,matching pursuits (mps),fine-grained scalability,two-layer codec,bitplane quantization,atom position,two-layer scalable video codec,multimedia streaming,motion estimation,image reconstruction,discrete cosine transforms,matching pursuit atom,quadtree prediction algorithm,snr scalability,video coding,low bit rate,channel capacity,discrete-cosine-transform-based fgs codec,pursuit atom,telecommunication traffic,discrete-cosine transform,two-layer,image enhancement,enhancement layer video,multimedia communication,scalable video codec,atoms,video codecs,signal to noise ratio,matching pursuit,discrete cosine transform
Matching pursuit,Computer vision,Computer science,Signal-to-noise ratio,Artificial intelligence,Motion estimation,Quantization (signal processing),Channel capacity,Codec,Scalability,Quadtree
Journal
Volume
Issue
ISSN
15
1
1051-8215
Citations 
PageRank 
References 
9
0.76
16
Authors
3
Name
Order
Citations
PageRank
Jian-Liang Lin190.76
Wen-Liang Hwang242958.03
Soo-Chang Pei3606.87