XOR-Based FEC to Improve Burst-Loss Tolerance for 8K Ultra-High Definition TV over IP Transmission

Kawamoto, Junichiro; Kurakake, Takuya

doi:10.1109/glocom.2017.8254125

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…CR technology, whether part of a 5G network or operating as an independent CRN network, for multimedia communications opens up a new paradigm in which mobile devices receive or transmit streamed video content in a temporarily vacant licensed band in an opportunistic manner. However, along with positive features, it remains risky to multicast confidential multimedia content in this way due to the open nature of wireless channels [6].…”

Section: Introductionmentioning

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: Introductionmentioning

confidence: 99%

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

Gillani

Asghar

Shifa

et al. 2022

Entropy

View full text Add to dashboard Cite

show abstract

“…This led to complex optimization problems which were approximated by using simulated annealing [31] and tabu search [32]. Finally, XOR-based and diagonal XOR-based AL-FEC methods were recently suggested to improve tolerance to burst errors compared to Pro-MPEG COP3 and its proposed extensions [33,34].…”

Section: Introductionmentioning

confidence: 99%

“…However, determining analytically its residual packet loss rate (RPLR) after the recovery of the lost packets, as a function of the packet loss rate (PLR) and matrix dimensions, represents a very challenging problem. In the literature, RPLR has been measured empirically in different application contexts in its original [35,36], and extended forms [19,[30][31][32][33][34]. To gain insight on the impact of the FEC matrix dimensions on the correction performance, the work of Westerlund [36] is particularly interesting.…”

Section: Introductionmentioning

confidence: 99%