File(s) under permanent embargo
Reason: This item is currently closed access.
Dynamic motion vector refreshing for enhanced error resilience in HEVC
conference contribution
posted on 2016-10-10, 14:18 authored by Joao F.M. Carreira, Varuna De Silva, Erhan Ekmekcioglu, Ahmet Kondoz, Pedro A.A. Assuncao, Sergio M.M. FariaThe high level of compression efficiency achieved by HEVC coding techniques decreases the error resilience performance under error prone conditions. This paper addresses the error resiliency of the HEVC standard, focusing on the new motion estimation tools. It is shown that the temporal dependency of motion information is comparatively higher than that in the H.264/AVC standard, causing an increase in the error propagation. Based on this evidence, this paper proposes a method to make intelligent use of temporal motion vector (MV) candidates during the motion estimation process, in order to decrease the temporal dependency, and improve the error resiliency without penalising the rate-distortion performance. The simulation results show that the proposed method improves the error resilience under tested conditions by increasing the video quality by up to 1.7 dB in average, compared to the reference method that always enables temporal MV candidates.
Funding
This work was supported by the Fundação para a Ciência e a Tecnologia, Portugal (under the PhD grant SFRH/BD/86368/2012), and the ROMEO project (grant number: 287896), which was funded by the EC FP7 ICT collaborative research programme.
History
School
- Loughborough University London
Published in
Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 22nd EuropeanPages
281 - 285Citation
CARREIRA, J. ... et al., 2014. Dynamic motion vector refreshing for enhanced error resilience in HEVC. IN: Proceedings of the 2013 22nd IEEE European Signal Processing Conference (EUSIPCO 2013), Lisbon, Portugal, 1-5 September 2013, pp.281-285.Publisher
© IEEEVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2014Notes
Closed access.ISBN
9780992862619ISSN
2076-1465Publisher version
Book series
INSPEC accession no.;14775429Language
- en
Administrator link
Usage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC