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JSCC-Cast: A Joint Source Channel Coding Video Encoding and Transmission System with Limited Digital Metadata.

Jose Balsa1, Óscar Fresnedo1, José A García-Naya1

  • 1CITIC Research Center, Department of Computer Engineering, University of A Coruña, 15008 A Coruña, Spain.

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|September 28, 2021
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Summary
This summary is machine-generated.

JSCC-Cast, a new analog video system, offers comparable image quality to existing methods with less metadata and no feedback channel. It

Keywords:
analog processinganalog video encodinganalog video transmissionjoint source-channel encoding

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Area of Science:

  • Digital communication systems
  • Video encoding and transmission
  • Signal processing

Background:

  • Analog and hybrid video encoding systems often require significant digital metadata.
  • Time-varying channels and constrained IoT devices pose challenges for video transmission.
  • Existing benchmarks like Softcast and H.265 have limitations in metadata or feedback requirements.

Purpose of the Study:

  • To design and implement JSCC-Cast, an efficient analog video encoding and transmission system.
  • To reduce digital metadata requirements for video transmission.
  • To enable video transmission for resource-constrained devices and multicast scenarios.

Main Methods:

  • Developed JSCC-Cast, a system utilizing linear transforms for spatial and temporal redundancy.
  • Employed analog encoding of transformed coefficients with adaptive protection levels.
  • Compared JSCC-Cast against Softcast and H.265 using image quality metrics (SSIM, PSNR, perceived quality).

Main Results:

  • JSCC-Cast achieves image quality comparable to Softcast.
  • The system requires significantly less digital metadata than alternatives.
  • JSCC-Cast demonstrates performance close to Softcast without needing a feedback channel.
  • In certain scenarios, perceived video quality approaches that of digital H.265 encoding.

Conclusions:

  • JSCC-Cast provides an efficient analog video transmission solution for multicast and IoT applications.
  • The system effectively balances image quality, metadata reduction, and computational constraints.
  • JSCC-Cast offers a viable alternative to existing analog and digital video coding methods, especially in challenging channel conditions.