Low delay error resilience algorithm for H.265HEVC video transmission
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SPECIAL ISSUE PAPER
Low delay error resilience algorithm for H.265|HEVC video transmission Taha T. Alfaqheri1 · Abdul Hamid Sadka1 Received: 28 April 2019 / Accepted: 21 October 2019 © The Author(s) 2019
Abstract Transmission of high-resolution compressed video on unreliable transmission channels with time-varying characteristics such as wireless channels can adversely affect the decoded visual quality at the decoder side. This task becomes more challenging when the video codec computational complexity is an essential factor for low delay video transmission. Highefficiency video coding (H.265|HEVC) standard is the most recent video coding standard produced by ITU-T and ISO/IEC organisations. In this paper, a robust error resilience algorithm is proposed to reduce the impact of erroneous H.265|HEVC bitstream on the perceptual video quality at the decoder side. The proposed work takes into consideration the compatibility of the algorithm implementations with and without feedback channel update. The proposed work identifies and locates the frame’s most sensitive areas to errors and encodes them in intra mode. The intra-refresh map is generated at the encoder by utilising a grey projection method. The conducted experimental work includes testing the codec performance with the proposed work in error-free and error-prone conditions. The simulation results demonstrate that the proposed algorithm works effectively at high packet loss rates. These results come at the cost of a slight increase in the encoding bit rate overhead and computational processing time compared with the default HEVC HM16 reference software. Keywords H.265|HEVC · Video error resilience · Low delay · Error-prone condition · Video transmission
1 Introduction The advancement in the manufacturing of high-performance electronic devices and their display technologies, such as smart mobile phones, tablets, and televisions devices, resulted in increased demands of ultrahigh-resolution video content delivery with low processing delay. Furthermore, nowadays, most of commercially available displays support spatial resolution up to 4 K (7668 × 4320) display resolution [1]. Such high-resolution display capabilities can consume most of the available bandwidth in conventional networks. Hence, for delivering high-quality video effectively, it is necessary to use efficient video coding tools to support highresolution video applications. The most recent video coding
* Abdul Hamid Sadka [email protected] Taha T. Alfaqheri [email protected] 1
Electronic and Computer Engineering, Brunel University London, London, UK
standard is the high-efficiency video coding (H.265|HEVC) standard [2]. The main target of developing H.265|HEVC standard was to double the coding efficiency of MPEG-4 part 10, advanced video coding (H.264|AVC) standard. This means keeping the same video quality at half encoding bit rate [3]. Furthermore, we extend the H.264|AVC applications, which are already supported by H.264|AVC coding standard to include more efficient video cod
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