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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.
Sensors (Basel, Switzerland)
|September 28, 2021
Summary
JSCC-Cast, a new analog video system, offers comparable image quality to existing methods with less metadata and no feedback channel. It
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.
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