Channel Coding for DTTB System

Song, Jian; Yang, Zhixing; Wang, Jun

doi:10.1002/9781119084365.ch03

Cited by 1 publication

(3 citation statements)

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“…Prior work has also focused on different video error control techniques including source and channel rate control [20], adaptive playback control [18], and error concealment [21,22]. However, the status of the received signal can only be predetermined from the transmitter signal if an accurate communication channel is modeled [9]. An FEC is a channel coding technique that adds redundancy to transmitted data to achieve error control [28] by which the transmitter sends data along with the redundant information and the receiver distinguishes and identifies only the original data and requires the redundant bits only in the case of some bit error or data loss.…”

Section: Related Studiesmentioning

confidence: 99%

“…Unlike Automatic Repeat Request (ARQ), when an error is detected within the transmitted data, FEC restores it without requesting re-transmission. Thus, when transmission delay matters, FEC may be a quicker and more suitable option to choose [9]. In FEC, redundant bits are added to the original bitstream by the FEC encoder [29].…”

Section: Related Studiesmentioning

confidence: 99%

“…FEC is especially used in real-time multimedia applications when real-time data are needed and when the delay caused by retransmission requests is not tolerable. Random-error FEC [9] can be carried out as Block coding and Convolution coding. Block codes work on the data of fixed-sized blocks, whereas convolution codes work on bitstreams of arbitrary size.…”

Section: Introductionmentioning

confidence: 99%

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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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