research-article

Photo2Trip: generating travel routes from geo-tagged photos for trip planning

Authors:

Xin Lu,

Changhu Wang,

Jiang-Ming Yang,

Yanwei Pang,

Lei ZhangAuthors Info & Claims

MM '10: Proceedings of the 18th ACM international conference on Multimedia

Pages 143 - 152

https://doi.org/10.1145/1873951.1873972

Published: 25 October 2010 Publication History

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Abstract

Travel route planning is an important step for a tourist to prepare his/her trip. As a common scenario, a tourist usually asks the following questions when he/she is planning his/her trip in an unfamiliar place: 1) Are there any travel route suggestions for a one-day or three-day trip in Beijing? 2) What is the most popular travel path within the Forbidden City? To facilitate a tourist's trip planning, in this paper, we target at solving the problem of automatic travel route planning. We propose to leverage existing travel clues recovered from 20 million geo-tagged photos collected from www.panoramio.com to suggest customized travel route plans according to users' preferences. As the footprints of tourists at memorable destinations, the geo-tagged photos could be naturally used to discover the travel paths within a destination (attractions/landmarks) and travel routes between destinations. Based on the information discovered from geo-tagged photos, we can provide a customized trip plan for a tourist, i.e., the popular destinations to visit, the visiting order of destinations, the time arrangement in each destination, and the typical travel path within each destination. Users are also enabled to specify personal preference such as visiting location, visiting time/season, travel duration, and destination style in an interactive manner to guide the system. Owning to 20 million geo-tagged photos and 200,000 travelogues, an online system has been developed to help users plan travel routes for over 30,000 attractions/landmarks in more than 100 countries and territories. Experimental results show the intelligence and effectiveness of the proposed framework.

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https://dl.acm.org/doi/10.1016/j.im.2024.104062
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Hirosawa RYi KMa Q(2024)Tailored Trip: Advanced Route Planning with Personalization Levels in FocusInformation Integration and Web Intelligence10.1007/978-3-031-78093-6_2(18-32)Online publication date: 4-Dec-2024
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Index Terms

Photo2Trip: generating travel routes from geo-tagged photos for trip planning
1. Information systems
  1. World Wide Web
    1. Web applications
    2. Web services

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Published In

MM '10: Proceedings of the 18th ACM international conference on Multimedia

October 2010

1836 pages

ISBN:9781605589336

DOI:10.1145/1873951

General Chairs:
Alberto del Bimbo
University of Florence, Italy
,
Shih-Fu Chang
Columbia University, USA
,
Program Chair:
Arnold Smeulders
University of Amsterdam, NL

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 October 2010

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MM '10: ACM Multimedia Conference

October 25 - 29, 2010

Firenze, Italy

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Li CZheng W(2025)Nipping trouble in the budInformation and Management10.1016/j.im.2024.10406262:1Online publication date: 1-Jan-2025
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Król KZdonek DSroka W(2024)Functionality Assessment Checklist for Evaluating Geoportals Useful in Planning Sustainable TourismSustainability10.3390/su1612524216:12(5242)Online publication date: 20-Jun-2024
https://doi.org/10.3390/su16125242
Hirosawa RYi KMa Q(2024)Tailored Trip: Advanced Route Planning with Personalization Levels in FocusInformation Integration and Web Intelligence10.1007/978-3-031-78093-6_2(18-32)Online publication date: 4-Dec-2024
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Multi-day and multi-stay travel planning using geo-tagged photos

Photo2Trip: an interactive trip planning system based on geo-tagged photos

Trip Mining and Recommendation from Geo-tagged Photos

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