Toward Generative Video Communication: A Dual-Stream Digital Transmission Framework

2026-09-28

AI Summary

This study addresses the challenges of efficient and personalized video delivery over bandwidth-limited wireless channels by proposing a dual-stream digital generative video communication framework. The framework introduces a novel dual-stream architecture that synergizes conventional visual references with compact semantic information, integrating digital and generative links to achieve efficient semantic compression and receiver-side reconstruction. Furthermore, three bandwidth-adaptive operating modes are defined, alongside coordination, synchronization, and delay control mechanisms designed to ensure transmission reliability. Experimental results demonstrate that the proposed method significantly enhances perceptual video quality and temporal consistency under wireless fading channels, thereby validating the effectiveness of the framework.

Abstract

Generative video communication has shown promise for bandwidth-constrained wireless transmission and has the potential to support personalized content delivery. In this article, we propose a dual-stream digital generative video communication (DGVC) framework that integrates a traditional digital link with a generative link. The traditional link provides source-grounded visual references, while the generative link conveys compact semantic and perceptual information for receiver-side generation. We further discuss three bandwidth-dependent operating regimes and key technologies for dual-stream coordination, synchronization, reliability, and latency control. A practical case study demonstrates the perceptual and temporal-quality benefits of DGVC under wireless fading channels. Finally, we discuss open challenges and future research directions for generative video communication.

Problem

• Generative video communication
• Bandwidth-constrained wireless transmission
• Personalized content delivery
• Perceptual quality

Innovation

• Generative Video Communication
• Dual-Stream Framework
• Semantic Transmission
• Digital Transmission
• Wireless Fading Channels