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New Ti-SemCom framework slashes video transmission costs by 88.3%

Researchers have developed a new framework called Ti-SemCom to improve the efficiency of video transmission over wireless networks. This system prioritizes important semantic tokens related to object and motion information, dynamically selecting them based on available bandwidth to reduce communication costs. By reusing reconstructed references for untransmitted regions, Ti-SemCom achieved an 88.3% reduction in communication cost while maintaining good reconstruction quality on the CAVIAR dataset. AI

IMPACT This framework could enable more robust and efficient video streaming in resource-constrained environments.

RANK_REASON The cluster contains an academic paper detailing a new technical framework. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Ti-SemCom framework slashes video transmission costs by 88.3%

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The cluster contains an academic paper detailing a new technical framework. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Xiwen Zhang, Yubo Peng, Luping Xiang, Kun Yang ·

    Token Importance-Aware Semantic Communication Enabled Robust Video Transmission

    arXiv:2611.12928v1 Announce Type: cross Abstract: Video applications are increasingly prevalent, yet their high data volume and temporal dependency make robust wireless transmission challenging under limited communication resources. To address this issue, we propose a token impor…