Adaptive intra-refresh for low-delay error-resilient video coding

Chen, Haoming; Zhao, Chen; Sun, Ming–Ting; Drake, Aaron

doi:10.1016/j.jvcir.2015.06.018

Cited by 12 publications

(6 citation statements)

References 17 publications

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“…Several techniques have been investigated in the literature to address video quality issues over wireless channels [13][14][15][16][17][18][19][20][21][22]. Generally, QoS or QoE [3] over multimedia communication channels can be categorized according to various metrics including: Bit Error Rate (BER), Packet Loss Ratio (PLR), Blocking Probability (BP), Collision Probability (CP), Dropping Probability (DP), Energy Efficiency (EE), and Spectrum Efficiency (SE).…”

Section: Related Studiesmentioning

confidence: 99%

VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming

Gillani

Asghar

Shifa

et al. 2022

Entropy

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Mobile multimedia communication requires considerable resources such as bandwidth and efficiency to support Quality-of-Service (QoS) and user Quality-of-Experience (QoE). To increase the available bandwidth, 5G network designers have incorporated Cognitive Radio (CR), which can adjust communication parameters according to the needs of an application. The transmission errors occur in wireless networks, which, without remedial action, will result in degraded video quality. Secure transmission is also a challenge for such channels. Therefore, this paper’s innovative scheme “VQProtect” focuses on the visual quality protection of compressed videos by detecting and correcting channel errors while at the same time maintaining video end-to-end confidentiality so that the content remains unwatchable. For the purpose, a two-round secure process is implemented on selected syntax elements of the compressed H.264/AVC bitstreams. To uphold the visual quality of data affected by channel errors, a computationally efficient Forward Error Correction (FEC) method using Random Linear Block coding (with complexity of O(k(n−1)) is implemented to correct the erroneous data bits, effectively eliminating the need for retransmission. Errors affecting an average of 7–10% of the video data bits were simulated with the Gilbert–Elliot model when experimental results demonstrated that 90% of the resulting channel errors were observed to be recoverable by correctly inferring the values of erroneous bits. The proposed solution’s effectiveness over selectively encrypted and error-prone video has been validated through a range of Video Quality Assessment (VQA) metrics.

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Section: Related Studiesmentioning

confidence: 99%

VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming

Gillani

Asghar

Shifa

et al. 2022

Entropy

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“…The first conducted work to select a group of MBs to be encoded with intra-refresh in H.264|AVC video coding was by Hoaming Chen et al [10]. Their proposed error resilience coding scheme is based on adaptive intra-refresh.…”

Section: Error Resilience Using Region Of Interest Extractionmentioning

confidence: 99%

Low delay error resilience algorithm for H.265|HEVC video transmission

Alfaqheri

Sadka

2019

J Real-Time Image Proc

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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.

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“…So, defining appropriate INTRA refresh encoding modes will make bit streams more robust. There are several works in the literature that exploit these techniques to improve video robustness like the ones found in [ 20 , 21 , 22 ].…”

Section: Related Workmentioning

confidence: 99%

Source Coding Options to Improve HEVC Video Streaming in Vehicular Networks

Abenza

Malumbres

Piñol

et al. 2018

Sensors

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Video delivery in Vehicular Ad-hoc NETworks has a great number of applications. However, multimedia streaming over this kind of networks is a very challenging issue because (a) it is one of the most resource-demanding applications; (b) it requires high bandwidth communication channels; (c) it shows moderate to high node mobility patterns and (d) it is common to find high communication interference levels that derive in moderate to high loss rates. In this work, we present a simulation framework based on OMNeT++ network simulator, Veins framework, and the SUMO mobility traffic simulator that aims to study, evaluate, and also design new techniques to improve video delivery over Vehicular Ad-hoc NETworks. Using the proposed simulation framework we will study different coding options, available at the HEVC video encoder, that will help to improve the perceived video quality in this kind of networks. The experimental results show that packet losses significantly reduce video quality when low interference levels are found in an urban scenario. By using different INTRA refresh options combined with appropriate tile coding, we will improve the resilience of HEVC video delivery services in VANET urban scenarios.

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Adaptive intra-refresh for low-delay error-resilient video coding

Cited by 12 publications

References 17 publications

VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming

VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming

Low delay error resilience algorithm for H.265|HEVC video transmission

Source Coding Options to Improve HEVC Video Streaming in Vehicular Networks

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