DocumentCode :
248572
Title :
Selective motion vector redundancies for improved error resilience in HEVC
Author :
Carreira, J. ; Ekmekcioglu, Erhan ; Kondoz, Ahme ; Assuncao, Pedro ; Faria, S. ; De Silva, V.
Author_Institution :
I-Lab., Univ. of Surrey, Guildford, UK
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
2457
Lastpage :
2461
Abstract :
This paper addresses the problem caused by motion vector coding dependencies on the error resilience performance of the emergent High Efficiency Video Coding (HEVC) standard. We propose a method based on the prediction dependency of motion vectors (MV) to select the most relevant ones for redundant coding with reduced overhead. The spatial dependencies are analysed in the encoder to prioritise the MVs that should be selected for redundancy, based on the number of subsequent dependent coding units. Then, a subset of prioritised MVs is transmitted as redundancy (referred to as side information in the paper), to reduce the use and propagation of mismatched MV predictions in case of transmission errors or data loss. The simulation results show that the proposed MV selection method can effectively identify the most relevant motion field, achieving improved error robustness with a reduced redundancy overhead. Exploiting only 30% of the generated MVs for redundancy, average quality gains of up to 1 dB are achieved compared to a uniform MV selection scheme, and up to 2 dB compared to the original HEVC standard with no redundant encoded information.
Keywords :
image motion analysis; vectors; video coding; HEVC standard; data loss; error resilience performance; high efficiency video coding; improved error resilience; mismatched MV predictions; motion vector coding dependencies; reduced overhead; redundant coding; selective motion vector redundancies; subsequent dependent coding units; transmission errors; Bit rate; Encoding; Redundancy; Resilience; Standards; Vectors; Video coding; HEVC; error resilience; motion vectors redundancy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025497
Filename :
7025497
Link To Document :
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