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| Presentation | 2022-03-07 11:05 Sightseeing spot detection and automatic generation of explanations using Flickr Hanami Ookada (Hiroshima City Univ.), Aya Ishino (HUE), Toshiyuki Takezawa (Hiroshima City Univ.)  NLC2021-30 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Using travel photos with latitude and longitude information in Flickr and image recognition technology, we conducted a study to automatically generate image explanations that are useful for tourist information. In this paper, we report the results of the Shimanami Kaido, where many tourist cyclists from Japan and abroad gather. First, using the information obtained from the Google Cloud Vision API as a clue, the photos are automatically classified into five categories: “see”, “eat”, “buy”, “experience”, and “stay”. Next, we detect tourist spots using DBSCAN. Based on the classification information of the images assigned to the tourist spots, a template for the explanation was generated. Furthermore, the explanation of the image was automatically generated by combining the template and the image label for each classification result. From the evaluation experiment, it was found that the explanation of the tourist spot was adequate and fluent, and the explanation was easy to convey to people. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Flickr / image recognition technique / tourism informatics / DBSCAN / sentence generation / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 415, NLC2021-30, pp. 13-18, March 2022. | |
| Paper # | NLC2021-30 | |
| Date of Issue | 2022-02-28 (NLC) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NLC2021-30 |
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| Conference Information | |
| Committee | NLC |
| Conference Date | 2022-03-07 - 2022-03-07 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Information Processing of Tourism, etc. |
| Paper Information | |
| Registration To | NLC |
| Conference Code | 2022-03-NLC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Sightseeing spot detection and automatic generation of explanations using Flickr |
| Sub Title (in English) | |
| Keyword(1) | Flickr |
| Keyword(2) | image recognition technique |
| Keyword(3) | tourism informatics |
| Keyword(4) | DBSCAN |
| Keyword(5) | sentence generation |
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| Keyword(8) | |
| 1st Author's Name | Hanami Ookada |
| 1st Author's Affiliation | Hiroshima City University (Hiroshima City Univ.) |
| 2nd Author's Name | Aya Ishino |
| 2nd Author's Affiliation | Hiroshima University of Economics (HUE) |
| 3rd Author's Name | Toshiyuki Takezawa |
| 3rd Author's Affiliation | Hiroshima City University (Hiroshima City Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-03-07 11:05:00 |
| Presentation Time | 25 minutes |
| Registration for | NLC |
| Paper # | NLC2021-30 |
| Volume (vol) | vol.121 |
| Number (no) | no.415 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2022-02-28 (NLC) |
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