SOURCE-LINKED INTELLIGENCE

Channel-Adaptive Region Adjacency Graph Carriers for Semantic Image Communication

arXiv · AI, language, vision and robotics · article · Sep 13, 2026 · UTC

Semantic image communication seeks to preserve task-relevant scene structure under limited channel resources, but carriers are often dense latent tensors or grid-aligned semantic layouts that do not explicitly encode region-level relations. This work introduces a segmentation-derived region adjacency graph (RAG) carrier, termed channel-adaptive RAG (CA-RAG), for joint source-channel coding-style image communication. Nodes store interpretable region attributes, edges preserve adjacency, channel-adaptive graph simplification (CGS) controls the node budget, and semantic belief propagation refines

Read original source ↗ Open in workspace

recordType

paper

region

Global