skip to main content
10.1145/1873951.1874291acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
demonstration

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

Published: 25 October 2010 Publication History

Abstract

In this technical demonstration, we present a novel interactive trip planning system, i.e. Photo2Trip, by leveraging existing travel clues recovered from 20 million geo-tagged photos. Compared with the most common ways of trip planning, such as surveying travelogues and resorting to travel forums, Photo2Trip enables users to plan their trips in a more effective way. To meet users' diverse travel requirements, the system considers the following preferences: travel location (e.g. Beijing, Paris, or New York), travel duration (e.g. a two-day trip or a five-day trip), visiting time (e.g. summer, winter, March, or October), and travel style preference (e.g. prefer historic or prefer scenery sites). According to user requirements, Photo2Trip can automatically recommend popular travel routes among multiple destinations (attractions/ landmarks), and suggest typical internal paths within each destination. Moreover, users are allowed to interactively adjust the suggested plans by adding or removing destinations to get more customized travel routes from the system. Owning to 20 million geo-tagged photos and 200,000 travelogues, Photo2Trip is capable of supporting users plan travel routes for over 30,000 attractions/landmarks in more than 100 countries and territories.

References

[1]
X. Lu, C. Wang, J. Yang, Y. Pang and L. Zhang. Photo2Trip: Generating Travel Routes from Geo-Tagged Photos for Trip Planning. In ACM MM, 2010.
[2]
D. Comaniciu and P. Meer. Mean shift: A robust approach toward feature space analysis. In TPAMI, 2002.
[3]
Q. Hao, R. Cai, and X. Wang. Generating location overviews with images and tags by mining user-generated travelogues. In ACM MM, 2009.

Cited By

View all
  • (2022)An Exploration Tool for Retrieval of Travel Information with Personal Photos2022 International Conference on Cyberworlds (CW)10.1109/CW55638.2022.00012(16-22)Online publication date: Sep-2022
  • (2019)Interactive Tourist Spot Recommendation Applying Generic Object Recognition to Personal Photos個人写真の一般物体認識結果に基づくインタラクティブな観光地情報推薦The Journal of the Society for Art and Science10.3756/artsci.18.11418:4(114-124)Online publication date: 5-Nov-2019
  • (2019)Automatic landmark extraction from geo-tagged social media photos using deep neural networkCities10.1016/j.cities.2019.04.01293(1-12)Online publication date: Oct-2019
  • Show More Cited By

Index Terms

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

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      MM '10: Proceedings of the 18th ACM international conference on Multimedia
      October 2010
      1836 pages
      ISBN:9781605589336
      DOI:10.1145/1873951
      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]

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 25 October 2010

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. geo-tagged photo
      2. map interface
      3. trip planning

      Qualifiers

      • Demonstration

      Conference

      MM '10
      Sponsor:
      MM '10: ACM Multimedia Conference
      October 25 - 29, 2010
      Firenze, Italy

      Acceptance Rates

      Overall Acceptance Rate 1,291 of 5,076 submissions, 25%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)3
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 15 Feb 2025

      Other Metrics

      Citations

      Cited By

      View all
      • (2022)An Exploration Tool for Retrieval of Travel Information with Personal Photos2022 International Conference on Cyberworlds (CW)10.1109/CW55638.2022.00012(16-22)Online publication date: Sep-2022
      • (2019)Interactive Tourist Spot Recommendation Applying Generic Object Recognition to Personal Photos個人写真の一般物体認識結果に基づくインタラクティブな観光地情報推薦The Journal of the Society for Art and Science10.3756/artsci.18.11418:4(114-124)Online publication date: 5-Nov-2019
      • (2019)Automatic landmark extraction from geo-tagged social media photos using deep neural networkCities10.1016/j.cities.2019.04.01293(1-12)Online publication date: Oct-2019
      • (2017)A multimodel context-aware tourism recommendation serviceJournal of Computer and Systems Sciences International10.5555/3086395.308643556:2(245-258)Online publication date: 1-Mar-2017
      • (2017)Travel Recommendation System Using Geotagged PhotosProceedings of the 7th International Conference on Computer and Communication Technology10.1145/3154979.3154995(22-26)Online publication date: 24-Nov-2017
      • (2017)TripRecProceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers10.1145/3123024.3124414(412-420)Online publication date: 11-Sep-2017
      • (2017)PD-TRP: A Service Composition Approach for the Personalized and Optimized Door-to-Door Travel Plan Recommendation2017 IEEE International Conference on Web Services (ICWS)10.1109/ICWS.2017.92(768-775)Online publication date: Jun-2017
      • (2017)Multi-model Service for Recommending Tourist AttractionsEnterprise Information Systems10.1007/978-3-319-62386-3_17(364-386)Online publication date: 29-Jun-2017
      • (2016)Recommending tourist locations based on data from photo sharing service: Method and algorithmProceedings of the 18th Conference of Open Innovations Association FRUCT10.1109/FRUCT-ISPIT.2016.7561538(272-278)Online publication date: 25-Apr-2016
      • (2015)A Visual Tool to Help Select Photogenic LocationsProceedings of the 2015 19th International Conference on Information Visualisation10.1109/iV.2015.40(177-182)Online publication date: 22-Jul-2015
      • Show More Cited By

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media