Title
Kalman filtering based rate-constrained motion estimation for very low bit rate video coding
Abstract
The rate-constrained (R-D) motion estimation techniques have been presented to improve the conventional block-matching algorithm by using a joint rate and distortion criterion. This paper presents two motion estimation algorithms using Kalman filter to further enhance the performance of the conventional R-D motion estimation at a relative low computational cost. The Kalman filter exploits the correlation of block motion to achieve higher precision of motion estimation and compensation. In the first algorithm, the Kalman filter is utilized as a postprocessing to raise the motion compensation accuracy of the conventional R-D motion estimation. In the second algorithm, the Kalman filter is embedded into the optimization process of R-D motion estimation by defining a new R-D criterion. It further improves the rate-distortion performance significantly.
Year
DOI
Venue
2006
10.1109/TCSVT.2005.857287
IEEE Trans. Circuits Syst. Video Techn.
Keywords
Field
DocType
conventional block-matching algorithm,rate-constrained motion estimation,distortion criterion,low bit rate video,motion estimation technique,r-d motion estimation,motion estimation,new r-d criterion,block motion,kalman filter,conventional r-d motion estimation,motion compensation accuracy,kalman filters,motion compensation,block matching algorithm
Computer vision,Extended Kalman filter,Alpha beta filter,Block-matching algorithm,Quarter-pixel motion,Fast Kalman filter,Computer science,Motion compensation,Artificial intelligence,Motion estimation,Invariant extended Kalman filter
Journal
Volume
Issue
ISSN
16
1
1051-8215
Citations 
PageRank 
References 
10
0.60
17
Authors
3
Name
Order
Citations
PageRank
Chung-Ming Kuo125821.97
Shu-chiang Chung2111.01
Po-Yi Shih3365.61