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Transparent Encryption with Scalable Video Communication: Lower-Latency, CABAC-based Schemes

Asghar, Mamoona N and Kousar, Rukhsana and Majid, Hooriya and Fleury, Martin (2017) 'Transparent Encryption with Scalable Video Communication: Lower-Latency, CABAC-based Schemes.' Journal of Visual Communication and Image Representation. ISSN 1047-3203

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Selective encryption masks all of the content without completely hiding it, as full encryption would do at a cost in encryption delay and increased bandwidth. Many commercial applications of video encryption do not even require selective encryption, because greater utility can be gained from transparent encryption, i.e. allowing prospective viewers to glimpse a reduced quality version of the content as a taster. Our lightweight selective encryption scheme when applied to scalable video coding is well suited to transparent encryption. The paper illustrates the gains in reducing delay and increased distortion arising from a transparent encryption that leaves reduced quality base layer in the clear. Reduced encryption of B-frames is a further step beyond transparent encryption in which the computational overhead reduction is traded against content security and limited distortion. This spectrum of video encryption possibilities is analyzed in this paper, though all of the schemes maintain decoder compatibility and add no bitrate overhead as a result of jointly encoding and encrypting the input video by virtue of carefully selecting the entropy coding parameters that are encrypted. The schemes are suitable both for H.264 and HEVC codecs, though demonstrated in the paper for H.264. Selected Content Adaptive Binary Arithmetic Coding (CABAC) parameters are encrypted by a lightweight Exclusive OR technique, which is chosen for practicality.

Item Type: Article
Uncontrolled Keywords: B-frames; scalable video streaming; reduced encryption; selective encryption; transparent encryption
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 24 Feb 2017 15:21
Last Modified: 23 Feb 2018 02:00

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