Semantic communication based lossless distributed video coding for error prone channels

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

Video coding is crucial for modern communications, but traditional methods with complex encoders limit their utility in many emerging consumer electronic applications. Distributed Video Coding (DVC), which shifts encoding complexity to the decoder, is a promising alternative but requires decoder feedback, limiting its practicality. We propose a semantic communication-based DVC system for lossless video coding, featuring a low-complexity semantic-based video encoder coupled with turbo channel code. The proposed codec significantly outperforms in terms of encoder complexity while maintaining better rate distortion performance at low channel signal-to-noise ratios compared to the state-of-the-art Versatile Video Coding based codec in power constrained consumer video sensors.
Original languageEnglish
Title of host publication2025 IEEE International Conference on Consumer Electronics (ICCE)
PublisherIEEE
Pages1-4
Number of pages4
ISBN (Electronic)979-8-3315-2116-5
ISBN (Print)979-8-3315-2117-2
DOIs
Publication statusPublished - 26 Mar 2025
Event2025 IEEE International Conference on Consumer Electronics (ICCE) - Las Vegas, United States
Duration: 11 Jan 202514 Jan 2025

Publication series

Name2025 IEEE International Conference on Consumer Electronics (ICCE)
PublisherIEEE
ISSN (Print)2158-3994
ISSN (Electronic)2158-4001

Conference

Conference2025 IEEE International Conference on Consumer Electronics (ICCE)
Country/TerritoryUnited States
CityLas Vegas
Period11/01/2514/01/25

Keywords

  • Autoencoders
  • Deep Neural Networks
  • Distributed Video Coding
  • Semantic Communication
  • Turbo code

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