Robust Video List Decoding in Error-Prone Transmission Systems Using a Deep Learning Approach

Robust Video List Decoding in Error-Prone Transmission Systems Using a Deep Learning Approach

This paper introduces a novel deep-learning assisted video list decoding method for error-prone video transmission systems. Unlike traditional list decoding techniques, our proposed system uses a Transformer-based no-reference image quality assessment method to select the highest-scoring reconstruct...

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Bibliographic Details
Main Authors: Yujing Zhang, Stephane Coulombe, Francois-Xavier Coudoux, Alexis Guichemerre, Patrick Corlay
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Video transmission
list decoding
non-uniform distortions
no-reference image quality assessment
vision transformer
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/10755955/
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