Paper Info
Title
Layered Motion Estimation And Coding For Fully Scalable 3d Wavelet Video Coding
Abstract
This paper proposes a framework of scalable motion estimation and coding with the structure of multi-layers for 3D wavelet video coding. The motion representation consists of multiple layers. The encoder uses motion of all layers to perform analysis, while the decoder may receive only part of motion for synthesis. Different from other schemes, each layer of motion is a point optimized at a certain range of bit-rate. We observe that the distortion introduced by motion mismatch is highly independent with the rate for texture in a wide range. Therefore, to make the best trade-off between motion and texture under the constraint of a given bit rate, a motion layer decision algorithm is used to find the appropriate number of motion layers to be included into the bit-stream. The proposed framework also supports the spatial and temporal scalabilities of motion. Experimental results show significant improvement at low bit-rates and nearly no loss at high bit-rates with layered motion coding and optimal motion decision. The performance is approaching to the convex bull of those with multiple sets of non-scalable motion.
Year
DOI
Venue
2004
10.1109/ICIP.2004.1421551
ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5
Keywords
Field
DocType
convex hull,transform coding,motion estimation,decoding,image texture,wavelet transforms
Computer vision,Block-matching algorithm,Quarter-pixel motion,Coding tree unit,Computer science,Motion compensation,Transform coding,Artificial intelligence,Encoder,Motion estimation,Wavelet transform
Conference
ISSN
Citations 
PageRank 
1522-4880
11
1.04
References 
Authors
3
5
Name
Order
Citations
PageRank
Ruiqin Xiong179469.56
Jizheng Xu292180.96
Feng Wu33635295.09
Shipeng Li43902252.94
Ya-Qin Zhang53684320.41