Multimodal Data Dynamic Compression Algorithm Based on Semantic Importance

With the exponential growth of multimodal data in IoT, efficiently compressing data while preserving semantic integrity has become a critical challenge. However, due to the limitations of existing single-modality and non-dynamic approaches, semantic compression still suffers from low compression eff...

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Veröffentlicht in:	IEEE International Conference on Communications workshops S. 1694 - 1698
Hauptverfasser:	Wei, Shuangying, Feng, Chunyan, Guo, Caili, Zhang, Biling
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 08.06.2025
Schlagworte:	Accuracy Compression algorithms Conferences Heuristic algorithms multimodal compression Optimization Resource management Semantic communication semantic measurement Semantics Signal to noise ratio Simulation
ISSN:	2694-2941
Online-Zugang:	Volltext
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