An Image Processing and Utilization System Using Deep Learning for Tourism Promotion

• Published in: 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) pp. 1 - 6
• Main Authors: Tu, Yunhao, Kinugasa, Masato, Urata, Mayu, Endo, Mamoru, Yasuda, Takami
• Format: Conference Proceeding
• Language: English
• Published: IEEE 04-12-2023
• Subjects: Deep learning; Image processing; Local government; object detection; open data; Publishing; Tourism industry; tourism promotion; Urban areas
• DOI: 10.1109/CSDE59766.2023.10487769

In recent years, digitalization has made significant developments in all areas of modern society. Data analysis and the application of information technology are becoming increasingly important in the tourism industry, which is an important pillar industry in Japan. Therefore, we propose a system with four main functions to support local governments in processing and using image data and deep learning to promote tourism. Function 1: The system classifies images by detecting faces and selects images without faces and personal information that can be used for local tourism promotion. Function 2: The system protects personal information by transforming image styles or adding mosaics, and the processed data can be used for image publishing and display. Function 3: The system classifies images according to season and other factors to organize tourism promotion materials. Function 4: The system expands the application by adding captions to the images, such as using the original image and captions to promote local scenery and festivals. These functions can help users to better utilize the image data for tourism promotion in local governments. Our goal is to reduce the workload of local governments and improve the efficiency of image data utilization. We also use image data to promote urban promotion and achieve regional revitalization. We have confirmed the usefulness of the proposed system for data processing and tourism promotion through cooperation with local govemments.