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Paper Abstract and Keywords
Presentation 2026-03-04 14:25
Token-Level Semantic Importance Modeling and Budgeted Transmission for Wireless Image Reconstruction
Ma Junfei, Yin Yue, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) RCS2025-264
Abstract (in Japanese) (See Japanese page) 
(in English) We focus on bandwidth-constrained wireless image semantic communication using discrete semantic tokens. An input image is first represented as a 2-D grid of codebook indices by a transformer-based vector-quantized variational autoencoder (T-VQ-VAE). To decide which tokens to transmit under a fixed bit budget, we assign each token a semantic-importance score by combining two complementary cues: (i) reconstruction sensitivity measured by gradients of a perceptual loss, and (ii) structural relevance derived from token-level self-attention, which captures global dependencies. The transmitter then selects and transmits the top-ranked tokens over a wireless link. At the receiver, missing tokens are recovered via masked token completion, followed by a generative refinement stage to enhance details and improve realism. Experiments on the BDD100K dataset demonstrate that, under the same bit budget, the proposed scheme achieves higher CLIP similarity and lower LPIPS than JPEG, FeatureAlloc-FAST, and random token selection across a wide range of SNRs.
Keyword (in Japanese) (See Japanese page) 
(in English) Semantic communication / semantic importance prediction, / bit-budgeted token selection / masked token completion / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 387, RCS2025-264, pp. 37-42, March 2026.
Paper # RCS2025-264 
Date of Issue 2026-02-25 (RCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF RCS2025-264

Conference Information
Committee RCS SR SRW  
Conference Date 2026-03-04 - 2026-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo University of Science 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Communication Workshop 
Paper Information
Registration To RCS 
Conference Code 2026-03-RCS-SR-SRW 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Token-Level Semantic Importance Modeling and Budgeted Transmission for Wireless Image Reconstruction 
Sub Title (in English)  
Keyword(1) Semantic communication  
Keyword(2) semantic importance prediction,  
Keyword(3) bit-budgeted token selection  
Keyword(4) masked token completion  
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1st Author's Name Ma Junfei  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Yin Yue  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Mondher Bouazizi  
3rd Author's Affiliation Keio University (Keio Univ.)
4th Author's Name Tomoaki Ohtsuki  
4th Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2026-03-04 14:25:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2025-264 
Volume (vol) vol.125 
Number (no) no.387 
Page pp.37-42 
#Pages 6 
Date of Issue 2026-02-25 (RCS) 

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