Next Article in Journal
Spatial Economic Convergence and Public Expenditure in Ecuador
Next Article in Special Issue
Reliability Enhancement of Edge Computing Paradigm Using Agreement
Previous Article in Journal
Two-Step Solver for Nonlinear Equations
Previous Article in Special Issue
Reusing Source Task Knowledge via Transfer Approximator in Reinforcement Transfer Learning
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Symmetry 2019, 11(2), 129;

Spatial Correlation-Based Motion-Vector Prediction for Video-Coding Efficiency Improvement

Department of Information Engineering, Shanghai Maritime University, NO.1550, Haigang Ave., Shanghai 201306, China
Department of Electrical and Electronics Engineering, Tokushima University, 2-24, Shinkura-cho, Tokushima, Japan
Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, No. 43, Keelung Rd., Taipei 106, Taiwan
Author to whom correspondence should be addressed.
Received: 28 December 2018 / Revised: 19 January 2019 / Accepted: 20 January 2019 / Published: 23 January 2019
(This article belongs to the Special Issue Information Technology and Its Applications 2018)
Full-Text   |   PDF [903 KB, uploaded 29 January 2019]   |  


H.265/HEVC achieves an average bitrate reduction of 50% for fixed video quality compared with the H.264/AVC standard, while computation complexity is significantly increased. The purpose of this work is to improve coding efficiency for the next-generation video-coding standards. Therefore, by developing a novel spatial neighborhood subset, efficient spatial correlation-based motion vector prediction (MVP) with the coding-unit (CU) depth-prediction algorithm is proposed to improve coding efficiency. Firstly, by exploiting the reliability of neighboring candidate motion vectors (MVs), the spatial-candidate MVs are used to determine the optimized MVP for motion-data coding. Secondly, the spatial correlation-based coding-unit depth-prediction is presented to achieve a better trade-off between coding efficiency and computation complexity for interprediction. This approach can satisfy an extreme requirement of high coding efficiency with not-high requirements for real-time processing. The simulation results demonstrate that overall bitrates can be reduced, on average, by 5.35%, up to 9.89% compared with H.265/HEVC reference software in terms of the Bjontegaard Metric. View Full-Text
Keywords: H.265/HEVC; motion-vector prediction; video-coding efficiency; CU depth H.265/HEVC; motion-vector prediction; video-coding efficiency; CU depth

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Jiang, X.; Song, T.; Katayama, T.; Leu, J.-S. Spatial Correlation-Based Motion-Vector Prediction for Video-Coding Efficiency Improvement. Symmetry 2019, 11, 129.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Symmetry EISSN 2073-8994 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top