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面向文本类屏幕内容图像传输的语义通信系统

祝志远 李杰 唐桐 吕翊 吴大鹏 王汝言

西安电子科技大学学报(自然科学版)2025,Vol.52Issue(5):26-38,13.
西安电子科技大学学报(自然科学版)2025,Vol.52Issue(5):26-38,13.DOI:10.19665/j.issn1001-2400.20250701

面向文本类屏幕内容图像传输的语义通信系统

Semantic communication system for text-based screen content image transmission

祝志远 1李杰 1唐桐 2吕翊 3吴大鹏 1王汝言1

作者信息

  • 1. 重庆邮电大学通信与信息工程学院,重庆 400065||先进网络与智能互联技术重庆市高校重点实验室 重庆 400065||泛在感知与智能互联重庆市重点实验室 重庆 400065
  • 2. 重庆邮电大学人工智能学院,重庆 400065
  • 3. 重庆邮电大学通信与信息工程学院,重庆 400065
  • 折叠

摘要

Abstract

The text-based screen content is widely used in scenarios such as online meetings,cloud gaming,and remote control,and it generates massive data that impose a significant pressure on storage and bandwidth.Traditional screen content transmission methods are constrained by the Shannon limit and cannot break through the transmission bottleneck.Moreover,existing image coding and transmission methods based on semantic communication mainly target natural scene images,with screen content images not sufficiently studied.In response to the above issues,a semantic coding and transmission system for text-based screen content images is constructed for the first time.Specifically,an end-to-end semantic framework is first designed to extract the semantic features of textual information in images while compressing or discarding irrelevant data.By reducing the amount of unnecessary data transmitted,efficient encoding of key semantic features is achieved.Next,a dynamic encoding strategy utilizing the channel state information(CSI)feedback is proposed,which optimizes the encoding process by real-time acquisition of wireless channel characteristics to enhance transmission robustness and efficiency.Additionally,an auxiliary loss function is designed to protect semantic features relevant to downstream tasks in the images.Finally,experimental results demonstrate that compared with the state-of-the-art transmission methods,the proposed approach achieves a higher communication efficiency under different channel conditions and bit rates.

关键词

语义通信/图像传输/无线通信/深度学习

Key words

semantic communication/image transmission/wireless communication/deep learning

分类

信息技术与安全科学

引用本文复制引用

祝志远,李杰,唐桐,吕翊,吴大鹏,王汝言..面向文本类屏幕内容图像传输的语义通信系统[J].西安电子科技大学学报(自然科学版),2025,52(5):26-38,13.

基金项目

国家自然科学基金(62271096,U24A20211) (62271096,U24A20211)

重庆市自然科学基金创新发展联合基金(CSTB2023NSCQ-LZX0134,CSTB2024NSCQ-LZX0124) (CSTB2023NSCQ-LZX0134,CSTB2024NSCQ-LZX0124)

重邮信通青创团队支持计划(SCIE-QN-2022-04) (SCIE-QN-2022-04)

西安电子科技大学学报(自然科学版)

OA北大核心

1001-2400

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