Low-complexity sub-pixel motion estimation utilizing shifting matrix in transform domain
- Authors
- Ryu, C.; Shin, J.-Y.; Park, E.-C.
- Issue Date
- Jul-2016
- Publisher
- Korean Institute of Electrical Engineers
- Keywords
- Computational complexity; Motion estimation; Quarter-pixel accuracy; Recursive equation; Transform domain
- Citation
- Journal of Electrical Engineering and Technology, v.11, no.4, pp 1022 - 1028
- Pages
- 7
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- Journal of Electrical Engineering and Technology
- Volume
- 11
- Number
- 4
- Start Page
- 1022
- End Page
- 1028
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/25151
- DOI
- 10.5370/JEET.2016.11.4.1022
- ISSN
- 1975-0102
2093-7423
- Abstract
- Motion estimation (ME) algorithms supporting quarter-pixel accuracy have been recently introduced to retain detailed motion information for high quality of video in the state-of-the-art video compression standard of H.264/AVC. Conventional sub-pixel ME algorithms in the spatial domain are faced with a common problem of computational complexity because of embedded interpolation schemes. This paper proposes a low-complexity sub-pixel motion estimation algorithm in the transform domain utilizing shifting matrix. Simulations are performed to compare the performances of spatial-domain ME algorithms and transform-domain ME algorithms in terms of peak signal-to-noise ratio (PSNR) and the number of bits per frame. Simulation results confirm that the transform-domain approach not only improves the video quality and the compression efficiency, but also remarkably alleviates the computational complexity, compared to the spatial-domain approach. © The Korean Institute of Electrical Engineers.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > Department of Information and Communication Engineering > 1. Journal Articles

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.