Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/22763

Title: Dynamic motion vector refreshing for enhanced error resilience in HEVC
Authors: Carreira, Joao F.M.
De Silva, Varuna
Ekmekcioglu, Erhan
Kondoz, Ahmet
Assuncao, Pedro A.A.
Faria, Sergio M.M.
Keywords: HEVC
Video coding
Error resilience
Issue Date: 2014
Publisher: © IEEE
Citation: 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.
Series/Report no.: IEEE accession no.;6952055
INSPEC accession no.;14775429
Abstract: The 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.
Description: Closed access.
Sponsor: 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.
Version: Published
URI: https://dspace.lboro.ac.uk/2134/22763
Publisher Link: http://ieeexplore.ieee.org/document/6952055/
ISBN: 9780992862619
ISSN: 2076-1465
Appears in Collections:Closed Access (Loughborough University London)

Files associated with this item:

File Description SizeFormat
06952055.pdfPublished version269.59 kBAdobe PDFView/Open


SFX Query

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