An Unequal Coding Scheme for H.265 Video Transmission

Huang, Yekeng; Ji, Meiying; Sun, Jiachen; Wei, Baodian; Ma, Xiao

doi:10.1109/wcnc45663.2020.9120661

Cited by 2 publications

(3 citation statements)

References 16 publications

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Section: Related Workmentioning

confidence: 99%

“…There have been several studies on UEP for video transmission over noisy channels to protect important partitions of video information [21], [22]. Huang et al proposed a multilevel UEP by a superposition transmission coding scheme applied to H.265 DP [21]. In addition, Paudel et al proposed two-level and three-level UEP algorithms, in which two-level UEP prioritized tile data based on motion density, while three-level UEP improved the protection of low-importance tiles [22].…”

Section: Related Workmentioning

confidence: 99%

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Low-Power Cross-Layer Error Management Using MIMO-LDPC Iterative Decoding for Video Processing

Yang

Kim

2021

IEEE Access

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This paper presents a novel low-power joint decoding system composed of a multiple-input multiple-output (MIMO) detector, low-density parity-check (LDPC) channel decoder, and H.264 source decoder for energyaware and cross-layer source-channel transmission systems. Our aim is to achieve a minimum power design that meets the expected quality of service (QoS) at the application layer. This design includes an iterative MIMO-LDPC decoder for minimizing communication errors and an unequal error protection scheme for reducing energy consumption in transmission. The experiment results reveal that our proposed iterative MIMO-LDPC-H.264 joint decoder achieved up to 66% energy reduction with only 0.09 dB peak signal-tonoise ratio degradation when compared to a non-UEP based joint source-channel decoding system.INDEX TERMS MIMO, LDPC, iterative decoding, unequal error protection, H.264/H.265 data partitioning, joint source-channel decoding, low-power design, error resilience, energy-aware communication system, QoS for video processing

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Low-Power Cross-Layer Error Management Using MIMO-LDPC Iterative Decoding for Video Processing

Yang

Kim

2021

IEEE Access

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“…After that, numerous UEP schemes based on various forward error correction (FEC) codes [20][21][22] or modulations [23][24][25] are developed. UEP is most widely applied in the transmission of multimedia data like voices, images and videos [26][27][28], as they are usually progressive and easier to be prioritized. For example, for H.264 videos, the I-frame data in a Group of Pictures (GOP) is more important than B/P-frame data, hence it should be allocated more transmission power or stronger FEC codes to improve the overall quality of the videos at receivers.…”

Section: Introductionmentioning

confidence: 99%

Unequal error protection transmission for federated learning

Zheng

Chen

2022

IET Communications

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Communication has been recognized as one of the primary challenges of federated learning (FL), but the actual communication algorithm or protocol design is still rarely involved in the existing studies. In the paper, viewing the model exchange in FL as a special kind of traffic, an unequal error protection (UEP) scheme is designed based on multi‐rate channel coding and multi‐layer modulation for it. To answer the question of how to make error control for FL when the wireless channel is no longer simplified as a pipeline, this paper firstly theoretically analyzes the impact of transmission error on machine leanring (ML) model, which reveals that the dynamic range of the weights should be taken into consideration. Guided by the analysis, the UEP scheme is applied to FL in multiple perspectives including parameter, network and time. Furthermore, a UEP‐based adaptive coding method is developed for the case with dynamic signal‐to‐noise ratio (SNR) to ensure faster and more stable convergence of the FL model while saving as much bandwidth as possible. Comprehensive numerical simulation on several real‐world datasets verifies that the proposed UEP transmission schemes can indeed bring significant benefits in accuracy, robustness and efficiency, especially when the channel condition is poor.

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An Unequal Coding Scheme for H.265 Video Transmission

Cited by 2 publications

References 16 publications

Low-Power Cross-Layer Error Management Using MIMO-LDPC Iterative Decoding for Video Processing

Low-Power Cross-Layer Error Management Using MIMO-LDPC Iterative Decoding for Video Processing

Unequal error protection transmission for federated learning

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