Error Concealment for Cloud-Based and Scalable Video Coding of HD Videos

Usman, M; He, X; Lam, KM; Xu, M; Bokhari, SMM; Chen, J; Jan, MA

Error Concealment for Cloud-Based and Scalable Video Coding of HD Videos

Usman, M

He, X

Lam, KM Xu, M

Bokhari, SMM Chen, J Jan, MA

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Cloud Computing, 2019, 7 (4), pp. 975 - 987
Issue Date:: 2019-10-01

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Field	Value	Language
dc.contributor.author	Usman, M https://orcid.org/0000-0003-2165-4575	en_US
dc.contributor.author	He, X https://orcid.org/0000-0001-8962-540X	en_US
dc.contributor.author	Lam, KM	en_US
dc.contributor.author	Xu, M https://orcid.org/0000-0001-9581-8849	en_US
dc.contributor.author	Bokhari, SMM	en_US
dc.contributor.author	Chen, J	en_US
dc.contributor.author	Jan, MA	en_US
dc.date.issued	2019-10-01	en_US
dc.identifier.citation	IEEE Transactions on Cloud Computing, 2019, 7 (4), pp. 975 - 987	en_US
dc.identifier.uri	http://hdl.handle.net/10453/118392
dc.description.abstract	© 2013 IEEE. The encoding of HD videos faces two challenges: requirements for a strong processing power and a large storage space. One time-efficient solution addressing these challenges is to use a cloud platform and to use a scalable video coding technique to generate multiple video streams with varying bit-rates. Packet-loss is very common during the transmission of these video streams over the Internet and becomes another challenge. One solution to address this challenge is to retransmit lost video packets, but this will create end-to-end delay. Therefore, it would be good if the problem of packet-loss can be dealt with at the user's side. In this paper, we present a novel system that encodes and stores the videos using the Amazon cloud computing platform, and recover lost video frames on user side using a new Error Concealment (EC) technique. To efficiently utilize the computation power of a user's mobile device, the EC is performed based on a multiple-thread and parallel process. The simulation results clearly show that, on average, our proposed EC technique outperforms the traditional Block Matching Algorithm (BMA) and the Frame Copy (FC) techniques.	en_US
dc.relation.ispartof	IEEE Transactions on Cloud Computing	en_US
dc.relation.isbasedon	10.1109/TCC.2017.2734650	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Error Concealment for Cloud-Based and Scalable Video Coding of HD Videos	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	7	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access	*
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	7	en_US

Abstract:

© 2013 IEEE. The encoding of HD videos faces two challenges: requirements for a strong processing power and a large storage space. One time-efficient solution addressing these challenges is to use a cloud platform and to use a scalable video coding technique to generate multiple video streams with varying bit-rates. Packet-loss is very common during the transmission of these video streams over the Internet and becomes another challenge. One solution to address this challenge is to retransmit lost video packets, but this will create end-to-end delay. Therefore, it would be good if the problem of packet-loss can be dealt with at the user's side. In this paper, we present a novel system that encodes and stores the videos using the Amazon cloud computing platform, and recover lost video frames on user side using a new Error Concealment (EC) technique. To efficiently utilize the computation power of a user's mobile device, the EC is performed based on a multiple-thread and parallel process. The simulation results clearly show that, on average, our proposed EC technique outperforms the traditional Block Matching Algorithm (BMA) and the Frame Copy (FC) techniques.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/118392