Paper Info
Title
Subband Coupling Aware Rate Allocation for Spatial Scalability in 3-D Wavelet Video Coding
Abstract
The motion compensated temporal filtering (MCTF) technique, which is extensively used in 3-D wavelet video coding schemes nowadays, leads to signal coupling among various spatial subbands because motion alignment is introduced in the temporal filtering. Using all spatial subbands as a reference enables MCTF to fully take advantage of temporal correlation across frames but inevitably brings drifting problem in supporting spatial scalability. This paper first analyzes the signal coupling phenomenon and then proposes a quantitative model to describe signal propagation across spatial subbands during the MCTF process. The signal propagation is modeled for a single MC step based on the shifting effect of wavelet synthesis filters and then it is extended to multilevel MCTF. This model is called subband coupling aware signal propagation (SCASP) model in this paper. Based on the model, we further propose a subband coupling aware rate allocation scheme as one possible solution to the above dilemma in supporting spatial scalability. To find the optimal rate allocation among all subbands for a specified reconstruction resolution, the SCASP model is used to approximate the reconstruction process and derive the synthesis gain of each subband with regard to that reconstruction. Experimental results have fully demonstrated the advantages of our proposed rate allocation scheme in improving both objective and subjective qualities of reconstructed low-resolution video, especially at middle bit rates and high bit rates.
Year
DOI
Venue
2007
10.1109/TCSVT.2007.903550
IEEE Trans. Circuits Syst. Video Techn.
Keywords
Field
DocType
quantitative model,subband coupling,subband coupling aware rate,scasp model,spatial scalability,mctf process,various spatial subbands,aware signal propagation,signal coupling phenomenon,signal propagation,3-d wavelet video coding,spatial subbands,filtering,image reconstruction,indexing terms,encoding,image resolution,wavelet transforms,spatial resolution,low resolution,motion compensation,scalability
Iterative reconstruction,Computer vision,Signal processing,Code rate,Computer science,Motion compensation,Filter (signal processing),Artificial intelligence,Wavelet,Wavelet transform,Scalability
Journal
Volume
Issue
ISSN
17
10
1051-8215
Citations 
PageRank 
References 
3
0.41
23
Authors
5
Name
Order
Citations
PageRank
Ruiqin Xiong179469.56
Jizheng Xu292180.96
Feng Wu33635295.09
Shipeng Li43902252.94
Ya-Qin Zhang53684320.41