Parameter Selection for a Video Communication System Based on HEVC and Channel Coding

Samayoa, Yasser; Östermann, Jörn

doi:10.1109/latincom50620.2020.9282344

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…FEC triggers the EC algorithm when an error is detected in the bit stream (dashed line). In this paper, we configure a slice to contain an entire frame which makes sense for lowdelay applications [16]. Therefore, a NAL unit contains a whole frame as well.…”

Section: System Descriptionmentioning

confidence: 99%

Neural Network-Based Error Concealment For VVC

Benjak

Samayoa

Östermann

2021

2021 IEEE International Conference on Image Processing (ICIP)

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In this paper we introduce an error concealment method for VVC based on deep recurrent neural networks, which employs the PredNet model to estimate missing video frames by using past decoded frames. The network is trained using the BVI-DVC data set to infer even full-HD frames. We integrated our proposed model in the VVC reference software VTM for its evaluation. It performs, in average, 6 dB or up to 5 dB better than the frame copy model in terms of PSNR measurements for a concealed I-frame or P-frame, respectively.

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Section: System Descriptionmentioning

confidence: 99%

Neural Network-Based Error Concealment For VVC

Benjak

Samayoa

Östermann

2021

2021 IEEE International Conference on Image Processing (ICIP)

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“…To meet the requirements of higher data rate, spectral efficiency, low latency, and reliability in 5G networks, authors in [ 26 ] performed a detailed comparison of the low-density parity check (LDPC) and polar codes. An interesting strategy to mitigate the distortions in video transmission with the aid of dynamic algorithm is proposed in [ 27 ]. Moreover, a new parameter is introduced in [ 27 ] to gauge the distortions in video communication system due to video encoding.…”

Section: Introductionmentioning

confidence: 99%

“…An interesting strategy to mitigate the distortions in video transmission with the aid of dynamic algorithm is proposed in [ 27 ]. Moreover, a new parameter is introduced in [ 27 ] to gauge the distortions in video communication system due to video encoding. Authors in [ 28 ] presented a protocol deploying turbo and systematic network coding for satellite video communication using high efficiency video coding (HEVC).…”

Section: Introductionmentioning

confidence: 99%

Averting BER Floor with Iterative Source and Channel Decoding for Layered Steered Space-Time Codes

Minallah

Ahmed

Frnda

et al. 2021

Sensors

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The widespread development in wireless technologies and the advancements in multimedia communication have brought about a positive impact on the performance of wireless transceivers. We investigate the performance of our three-stage turbo detected system using state-of-the-art high efficiency video coding (HEVC), also known as the H.265 video standard. The system makes use of sphere packing (SP) modulation with the combinational gain technique of layered steered space-time code (LSSTC). The proposed three-stage system is simulated for the correlated Rayleigh fading channel and the bit-error rate (BER) curve obtained after simulation is free of any floor formation. The system employs low complexity source-bit coding (SBC) for protecting the H.265 coded stream. An intermediate recursive unity-rate code (URC) with an infinite impulse response is employed as an inner precoder. More specifically, the URC assists in the prevention of the BER floor by distributing the information across the decoders. There is an observable gain in the BER and peak signal-to-noise ratio (PSNR) performances with the increasing value of minimum Hamming distance (dH,min) using the three-stage system. Convergence analysis of the proposed system is investigated through an extrinsic information transfer (EXIT) chart. Our proposed system demonstrates better performance of about 22 dB than the benchmarker utilizing LSSTC-SP for iterative source-channel detection, but without exploiting the optimized SBC schemes.

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