Paper Info
Title
Flexible Motion Vector Resolution Prediction for Video Coding
Abstract
The latest video coding standard, High Efficiency Video Coding (HEVC), uses quarter-pixel motion vector (MV) resolution for motion compensation. The adaptation of MV resolution supported by progressive MV resolution (PMVR) brings further improvement to performance by progressively adjusting the resolution according to the distance between the MV and its predictor. However, progressive adjustment of resolution by PMVR does not consider the inherent characteristics of the coding block. In this paper, we propose several ways to improve PMVR. First, we show that the performance of PMVR is correlated with the spatiotemporal characteristics of the video sequence. Then, to cope with the limitations of PMVR, we propose a flexible framework for the adaptation of MV resolution using: 1) PU size and gradient; 2) PU size, gradient, and MV components; and 3) PU size and spatiotemporal characteristics of the frames. Finally, a smart motion estimation around multiple MV predictors is performed to take full advantage of the proposed scheme. The proposed tools are implemented on top of HM-16.6. Extensive experiments and comparison with HEVC show 1.3%, 2.7%, and 1.0% average BD-Rate savings for random access, low-delay P, and low-delay B configurations, respectively.
Year
DOI
Venue
2019
10.1109/tcsvt.2018.2878401
IEEE Transactions on Circuits and Systems for Video Technology
Keywords
Field
DocType
Signal resolution,Encoding,Spatiotemporal phenomena,Complexity theory,Energy resolution,Video coding,Motion compensation
Computer vision,Coding block,Computer science,Motion compensation,Coding (social sciences),Artificial intelligence,Motion estimation,Encoding (memory),Motion vector,Random access
Journal
Volume
Issue
ISSN
29
11
1051-8215
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Bappaditya Ray100.34
Mohamed-Chaker Larabi234743.48
Joël Jung3151.94