Research on the Application of Artificial Intelligence-Driven Cross-Modal Semantic Communication System in the Tourism Industry

DOI

10.2991/978-94-6463-636-9_5How to use a DOI?

Keywords

Tourism industry; Cross-modal semantic communication; Artificial intelligence; Semantic association

Abstract

In response to the current research gaps in cross-modal semantic communication within the tourism industry, this study proposes the architecture, core concepts, key technologies, practical applications, and challenges of a cross-modal semantic communication system driven by artificial intelligence. The aim of this research is to further advance the theoretical and applied studies in this new direction within the tourism industry. It is anticipated that this work will have a positive impact on the fields of multimedia communication and information processing, particularly in the application scenarios of the tourism industry.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Dandan Lu
AU  - Xue Gong
AU  - Liudan Qiu
PY  - 2024
DA  - 2024/12/31
TI  - Research on the Application of Artificial Intelligence-Driven Cross-Modal Semantic Communication System in the Tourism Industry
BT  - Proceedings of the 2024 International Conference on Digital Economy and Marxist Economics (ICDEME 2024)
PB  - Atlantis Press
SP  - 29
EP  - 39
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-636-9_5
DO  - 10.2991/978-94-6463-636-9_5
ID  - Lu2024
ER  -