LVSC: A Lightweight Video Semantic Communication Method over Wireless Channel

This paper proposes a lightweight video semantic communication (LVSC) method to enable end-to-end wireless video transmissions. The proposed LVSC method cuts down the model parameters through designing a spatial pyramid structure for the residual codec and a one-dimensional CNN-based channel attention model for the joint source-channel coding (JSCC) codec, respectively. Additionally, the Swin Transformer is introduced to the JSCC codec to accelerate the semantic coding. Extensive experiments validate that the proposed LVSC performs better than the baseline methods in terms of PSNR and MS-SSIM while inferring much faster at the same time.

Authors

Institutions

Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3697462
Citations
2
Primary Topic
Telecommunications and Broadcasting Technologies
Type
article
Field-Weighted Citation Impact
0.64
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LVSC: A Lightweight Video Semantic Communication Method over Wireless Channel

Baopei Zhang, Zhidu Li, Zhaoning Wang
2 citations
Telecommunications and Broadcasting Technologies
0.64
article

LVSC: A Lightweight Video Semantic Communication Method over Wireless Channel

Baopei Zhang, Zhidu Li, Zhaoning Wang
article en
2 citations

Abstract

This paper proposes a lightweight video semantic communication (LVSC) method to enable end-to-end wireless video transmissions. The proposed LVSC method cuts down the model parameters through designing a spatial pyramid structure for the residual codec and a one-dimensional CNN-based channel attention model for the joint source-channel coding (JSCC) codec, respectively. Additionally, the Swin Transformer is introduced to the JSCC codec to accelerate the semantic coding. Extensive experiments validate that the proposed LVSC performs better than the baseline methods in terms of PSNR and MS-SSIM while inferring much faster at the same time.

Chongqing University of Posts and Telecommunications (CN), China United Network Communications Group (China) (CN)
Openalex Percentile: Top 25%
Telecommunications and Broadcasting Technologies
0.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.