Title
Perceptually-adaptive Motion Compensated Temporal Filtering
Abstract
We propose a perceptually-adaptive motion compensated temporal filtering (MCTF) method to enhance the visual quality of 3D wavelet video coding schemes with spatial-domain MCTF. In our scheme, a spatio-temporal masking model in image domain is incorporated into the lifting structure of MCTF. The model is used to guide the motion search and the prediction step in MCTF so as to remove the visual redundancy in the video sequence. Experimental results show that the proposed scheme can significantly improve the visual quality of decoded video at different bitrates
Year
DOI
Venue
2006
10.1109/ICME.2006.262630
ICME
Keywords
Field
DocType
motion compensation,spatio-temporal masking model,wavelet transforms,adaptive decoding,motion compensated temporal filtering,spatiotemporal phenomena,image domain,adaptive filters,3d wavelet video coding,perceptually-adaptive mctf method,video coding,image sequences,visual quality enhancement,image enhancement,decoding,video sequence,redundancy,psnr,predictive models
Wavelet video coding,Masking (art),Computer science,Motion compensation,Redundancy (engineering),Artificial intelligence,Adaptive filter,Wavelet transform,Computer vision,Pattern recognition,Filter (signal processing),Speech recognition,Decoding methods
Conference
ISBN
Citations 
PageRank 
1-4244-0367-7
0
0.34
References 
Authors
4
5
Name
Order
Citations
PageRank
Dongdong Zhang100.68
Xin Ma200.34
Wenjun Zhang31789177.28
Xiaokang Yang43581238.09
Yu Song535652.74