Massively efficient motion estimation by exploiting inter-pixel similarities
Document Type
Conference Proceeding
Publication Date
12-19-2016
Department
Department of Electrical and Computer Engineering; Center for Scalable Architectures and Systems
Abstract
In this paper, we propose a novel massively parallel motion estimation for HEVC using an efficient yet flexible predicate algorithm, ScalingFast that exploits inter-pixel similarities. When evaluated over four video test video sequences with changing resolution, the proposed algorithm outperforms the anchor algorithm by factor of up to 4.6, with little to no loss in rate-distortion (RD) performance.
Publication Title
2016 Data Compression Conference
Recommended Citation
Jiang, C.,
&
Nooshabadi, S.
(2016).
Massively efficient motion estimation by exploiting inter-pixel similarities.
2016 Data Compression Conference.
http://doi.org/10.1109/DCC.2016.22
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/1167