Adaptation–aware encryption of scalable H.264/AVC video for content security

Author:

Arachchi H. Kodikara,Perramon X.,Dogan S.,Kondoz A.M.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference28 articles.

1. F. Pereira, A triple user characterization model for video adaptation and quality of experience evaluation, in: Proc. Seventh IEEE Multimedia Sig. Process. Workshop, October 2005, pp. 1–4.

2. P. Reichl, From ‘quality-of-service’ and ‘quality-of-design’ to ‘quality-of-experience’: a holistic view on future interactive telecommunication services, in: Proc. Fifteenth Int. Conf. Software, Telecommun. Comput. Networks, September 2007, pp. 1–6.

3. Universal multimedia experiences for tomorrow;Pereira;IEEE Signal Process. Mag.,2003

4. MPEG-21: goals and achievements;Burnett;IEEE Multimedia,2003

5. R. Iqbal, S. Shirmohammadi, A. El Saddik, Secured MPEG-21 Digital Item Adaptation for H.264 Video, in: Proc. IEEE Int. Conf. Multimedia Expo, July 2006.

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1. An Efficient Video Encryption Algorithm Based on the Pseudorandom Number Generator of Zipf Distribution;Security and Communication Networks;2022-11-17

2. A review of selective H.264 video encryption techniques;PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON ADVANCED RESEARCH IN PURE AND APPLIED SCIENCE (ICARPAS2021): Third Annual Conference of Al-Muthanna University/College of Science;2022

3. Design and ARM-Based Implementation of Bitstream-Oriented Chaotic Encryption Scheme for H.264/AVC Video;Entropy;2021-10-29

4. SLEPX: An Efficient Lightweight Cipher for Visual Protection of Scalable HEVC Extension;IEEE Access;2020

5. Encryption techniques for H.264/AVC videos: A literature review;Journal of Information Security and Applications;2019-04

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