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Y. Bounab, M. Oussalah and A. Ferdenache, "Reconciling Image Captioning and User’s Comments for Urban Tourism," 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), Paris, 2020, pp. 1-6, doi: 10.1109/IPTA50016.2020.9286602

Reconciling image captioning and user’s comments for urban tourism

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Author: Bounab, Yazid1; Oussalah, Mourad1; Ferdenache, Ahlam2
Organizations: 1Faculty of ITEE, CMVS University of Oulu, Oulu, Finland
2Chadli Bendjedid University, LASE Badji Mokhtar University, Algeria
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202101262659
Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2021-01-26
Description:

Abstract

Image captioning as a process of assigning textual description to an image has gained momentum nowadays thanks to recent advances in deep learning related architectures and availability of associated tools. In the era of digital tourism, this offers a valuable framework to reconcile the widely available tourism images and user’s generated content. This paper presents a novel approach to perform such reconciliation in a way to benefit tourism industry. Especially, IMGUR online image sharing services has been employed to construct a novel database, referred Tourism48, which contains gallery tourism images from 48 countries together with their associated user’s comments. Google Cloud Vision API has been employed to perform image captioning of the underlined images, while similarity analysis has been employed to match user’s comments to the obtained captioning results. The outcomes can trigger the development of subsequent policy research in tourism industry and behavior analysis. Besides, the Tourism48 dataset has been made available for research community.1

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Series: Proceedings. International Workshops on Image Processing Theory, Tools, and Applications
ISSN: 2154-5111
ISSN-E: 2154-512X
ISSN-L: 2154-5111
ISBN: 978-1-7281-8750-1
ISBN Print: 978-1-7281-8751-8
Pages: 1 - 6
Article number: 9286602
DOI: 10.1109/IPTA50016.2020.9286602
OADOI: https://oadoi.org/10.1109/IPTA50016.2020.9286602
Host publication: 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), Paris, 2020
Conference: International Conference on Image Processing Theory, Tools and Applications
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
213 Electronic, automation and communications engineering, electronics
Subjects:
Image captioning
google vision API
image description
social media
string matching
Article
Funding: This work is partly supported by the CBC KA 4033 on Business Creation and EU YoungRes #823701 projects, which are gratefully acknowledged.
Copyright information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.