Low delay error resilience algorithm for H. 265| HEVC video transmission
Open accessAbstract
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. High-efficiency 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.
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HEVC increases compression efficiency but has less error-resilient features and is more sensitive to channel bit errors because of more encoded redundant content.
“The HEVC codec increases the compression efficiency but has less error-resilient features [13] and is more sensitive to channel bit errors because of more encoded redundant content [14].”
From VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming (2022) · cites this paper as [14]
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Research works printed but not linked: 24
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Cited by
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Gillani, S. M., Asghar, M. N., Shifa, A., Abdullah, S., Kanwal, N., & Fleury, M. (2022) · Entropy · doi:10.3390/e24060755 · Cited by 5 · see citing works
- Authors
- Alfaqheri, T. T., & Sadka, A. H.
- Affiliations
- Brunel University of London (GB)
- Corresponding author
- Sadka, Abdul Hamid
- ORCID
- Sadka, Abdul Hamid
- Venue
- Journal of Real-Time Image Processing
- Published
- 2019-11-20
- Volume
- 17
- Issue
- 6
- Pages
- 2047-2063
- ISSN
- 1861-8200 (ISSN-L)
- 1861-8219
- OpenAlex
- W2989654828
- Cited by
- 10
- References
- 0
- Citations by year
- 2026: 1 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 3
- FWCI
- 0.95
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Real-Time Image Processing (publishedVersion, cc-by)
- Brunel University Research Archive (BURA) (Brunel University London) (submittedVersion, cc-by)
- Brunel University Research Archive (BURA) (Brunel University London) (submittedVersion)
- Funders
- Qatar National Research Fund (9-181-1-036)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Video Coding and Compression Technologies
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Data Compression Techniques
- Keywords
- error resilience, H.265/HEVC, packet loss, perceptual video quality, feedback channel, wireless video transmission
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