27 February 2018 Quality of experience enhancement of high efficiency video coding video streaming in wireless packet networks using multiple description coding
Farouk Boumehrez, Radhia Brai, Noureddine Doghmane, Khaled Mansouri
Author Affiliations +
Abstract
Recently, video streaming has attracted much attention and interest due to its capability to process and transmit large data. We propose a quality of experience (QoE) model relying on high efficiency video coding (HEVC) encoder adaptation scheme, in turn based on the multiple description coding (MDC) for video streaming. The main contributions of the paper are (1) a performance evaluation of the new and emerging video coding standard HEVC/H.265, which is based on the variation of quantization parameter (QP) values depending on different video contents to deduce their influence on the sequence to be transmitted, (2) QoE support multimedia applications in wireless networks are investigated, so we inspect the packet loss impact on the QoE of transmitted video sequences, (3) HEVC encoder parameter adaptation scheme based on MDC is modeled with the encoder parameter and objective QoE model. A comparative study revealed that the proposed MDC approach is effective for improving the transmission with a peak signal-to-noise ratio (PSNR) gain of about 2 to 3 dB. Results show that a good choice of QP value can compensate for transmission channel effects and improve received video quality, although HEVC/H.265 is also sensitive to packet loss. The obtained results show the efficiency of our proposed method in terms of PSNR and mean-opinion-score.
© 2018 SPIE and IS&T 1017-9909/2018/$25.00 © 2018 SPIE and IS&T
Farouk Boumehrez, Radhia Brai, Noureddine Doghmane, and Khaled Mansouri "Quality of experience enhancement of high efficiency video coding video streaming in wireless packet networks using multiple description coding," Journal of Electronic Imaging 27(1), 013028 (27 February 2018). https://doi.org/10.1117/1.JEI.27.1.013028
Received: 26 September 2017; Accepted: 20 January 2018; Published: 27 February 2018
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Cited by 7 scholarly publications.
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KEYWORDS
Video

Video coding

Computer programming

Video compression

Video surveillance

Video processing

Molybdenum

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