Wireless Deep Video Semantic Transmission

In this paper, we design a new class of high-efficiency deep joint source-channel coding methods to achieve end-to-end video transmission over wireless channels. The proposed methods exploit nonlinear transform and conditional coding architecture to adaptively extract semantic features across video...

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Veröffentlicht in:	IEEE journal on selected areas in communications Jg. 41; H. 1; S. 214 - 229
Hauptverfasser:	Wang, Sixian, Dai, Jincheng, Liang, Zijian, Niu, Kai, Si, Zhongwei, Dong, Chao, Qin, Xiaoqi, Zhang, Ping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Channels Coding Computer architecture Design optimization Domains Encoding Entropy Feature extraction Frames (data processing) joint source-channel coding Machine vision nonlinear transform Performance measurement rate-distortion Semantic communications Semantics Task analysis Transforms Transmission rate (communications) Video communication Video transmission Vision systems Wireless communication Wireless sensor networks
ISSN:	0733-8716, 1558-0008
Online-Zugang:	Volltext
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