Automatic Generation of Pictorial Maps from Photos on Social Media to Represent Regional Features

Wentong Zhou; Taketoshi Ushiama

doi:10.1109/IMCOM48794.2020.9001685

Automatic Generation of Pictorial Maps from Photos on Social Media to Represent Regional Features

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In recent years, with the spread of smartphones and SNSs, billions of photos have been posted on SNSs. Photographs from different locations show different charms of each region. This paper introduces a system for automatic generation of pictorial maps using geotagged photographs posted on Flickr. The proposed system can extract the most representative photograph of each region automatically and can generate pictorial maps with the extracted photographs. Generated pictorial maps can be used to help people to discover the unique charms and cultures of a region in an easy-to-understand manner and the proposed system can also be applied to various web services such as geographic search engines, travel apps and so on.

Original language	English
Title of host publication	Proceedings of the 2020 14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020
Editors	Sukhan Lee, Hyunseung Choo, Roslan Ismail
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728154534
DOIs	https://doi.org/10.1109/IMCOM48794.2020.9001685
Publication status	Published - Jan 2020
Event	14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020 - Taichung, Taiwan, Province of China Duration: Jan 3 2020 → Jan 5 2020

Publication series

Name	Proceedings of the 2020 14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020

Conference

Conference	14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020
Country/Territory	Taiwan, Province of China
City	Taichung
Period	1/3/20 → 1/5/20

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Computer Vision and Pattern Recognition
Information Systems and Management
Communication

Access to Document

10.1109/IMCOM48794.2020.9001685

Cite this

Zhou, W., & Ushiama, T. (2020). Automatic Generation of Pictorial Maps from Photos on Social Media to Represent Regional Features. In S. Lee, H. Choo, & R. Ismail (Eds.), Proceedings of the 2020 14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020 Article 9001685 (Proceedings of the 2020 14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMCOM48794.2020.9001685

Automatic Generation of Pictorial Maps from Photos on Social Media to Represent Regional Features. / Zhou, Wentong; Ushiama, Taketoshi.
Proceedings of the 2020 14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020. ed. / Sukhan Lee; Hyunseung Choo; Roslan Ismail. Institute of Electrical and Electronics Engineers Inc., 2020. 9001685 (Proceedings of the 2020 14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhou, W & Ushiama, T 2020, Automatic Generation of Pictorial Maps from Photos on Social Media to Represent Regional Features. in S Lee, H Choo & R Ismail (eds), Proceedings of the 2020 14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020., 9001685, Proceedings of the 2020 14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020, Institute of Electrical and Electronics Engineers Inc., 14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020, Taichung, Taiwan, Province of China, 1/3/20. https://doi.org/10.1109/IMCOM48794.2020.9001685

Zhou W, Ushiama T. Automatic Generation of Pictorial Maps from Photos on Social Media to Represent Regional Features. In Lee S, Choo H, Ismail R, editors, Proceedings of the 2020 14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9001685. (Proceedings of the 2020 14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020). doi: 10.1109/IMCOM48794.2020.9001685

Zhou, Wentong ; Ushiama, Taketoshi. / Automatic Generation of Pictorial Maps from Photos on Social Media to Represent Regional Features. Proceedings of the 2020 14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020. editor / Sukhan Lee ; Hyunseung Choo ; Roslan Ismail. Institute of Electrical and Electronics Engineers Inc., 2020. (Proceedings of the 2020 14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020).

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abstract = "In recent years, with the spread of smartphones and SNSs, billions of photos have been posted on SNSs. Photographs from different locations show different charms of each region. This paper introduces a system for automatic generation of pictorial maps using geotagged photographs posted on Flickr. The proposed system can extract the most representative photograph of each region automatically and can generate pictorial maps with the extracted photographs. Generated pictorial maps can be used to help people to discover the unique charms and cultures of a region in an easy-to-understand manner and the proposed system can also be applied to various web services such as geographic search engines, travel apps and so on.",

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Automatic Generation of Pictorial Maps from Photos on Social Media to Represent Regional Features

Abstract

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