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Pleasant Route Suggestion based on Color and Object Rates

Published: 30 January 2019 Publication History

Abstract

For a tourist who wishes to stroll in an unknown city, it is useful to have a recommendation of not just the shortest routes but also routes that are pleasant. This paper demonstrates a system that provides pleasant route recommendation. Currently, we focus on routes that have much green and bright views. The system measures pleasure scores by extracting colors or objects in Google Street View panorama images and re-ranks shortest paths in the order of the computed pleasure scores. The current prototype provides route recommendation for city areas in Tokyo, Kyoto and San Francisco.

References

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C. Chen, X. Chen, Z. Wang, Y. Wang, and D. Zhang. 2017. ScenicPlanner: planning scenic travel routes leveraging heterogeneous user-generated digital footprints. Frontiers of Computer Science, Vol. 11, 1 (2017), 61--74.
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M. C. Kondo, J. M. Fluehr, T. McKeon, and C. C. Branas. 2018. Urban Green Space and Its Impact on Human Health. International Journal of Environmental Research and Public Health, Vol. 15, 3 (2018).
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D. Quercia, N. K. O'Hare, and H. Cramer. 2014a. Aesthetic Capital: What Makes London Look Beautiful, Quiet, and Happy?. In Proc. of CSCW . 945--955.
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D. Quercia, R. Schifanella, and L. M. Aiello. 2014b. The shortest path to happiness: Recommending beautiful, quiet, and happy routes in the city. In Proc. of HT. 116--125.
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L. Tyrv"ainen, A. Ojala, K. Korpela, T. Lanki, Y. Tsunetsugu, and T. Kagawa. 2014. The influence of urban green environments on stress relief measures: A field experiment. Journal of Environmental Psychology, Vol. 38 (2014), 1--9.
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Y. Zhang, P. Siriaraya, Y. Wang, S. Wakamiya, Y. Kawai, and A. Jatowt. 2018. Walking Down a Different Path: Route Recommendation Based on Visual and Facility Based Diversity. In Companion Proc. of WWW . 171--174.

Cited By

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  • (2024)How are urban design qualities associated with perceived walkability? An AI approach using street view images and deep learningInternational Journal of Urban Sciences10.1080/12265934.2024.2429824(1-26)Online publication date: 20-Nov-2024
  • (2023)The Smart City and Healthy Walking: An Environmental Comparison Between Healthy and the Shortest Route ChoicesUrban Planning10.17645/up.v8i2.64078:2Online publication date: 9-Mar-2023
  • (2023)Practical Technologies for Analysis, Recommendation, and Visualization of User Behavior and Social Environment Dataユーザ行動と社会環境データの分析・推薦・可視化の実践的応用技術IEICE ESS Fundamentals Review10.1587/essfr.17.1_7217:1(72-80)Online publication date: 1-Jul-2023
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cover image ACM Conferences
WSDM '19: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining
January 2019
874 pages
ISBN:9781450359405
DOI:10.1145/3289600
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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Publication History

Published: 30 January 2019

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Author Tags

  1. greenery route
  2. image recognition
  3. panorama image
  4. street view
  5. walking route recommendation

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WSDM '19

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WSDM '19 Paper Acceptance Rate 84 of 511 submissions, 16%;
Overall Acceptance Rate 498 of 2,863 submissions, 17%

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Cited By

View all
  • (2024)How are urban design qualities associated with perceived walkability? An AI approach using street view images and deep learningInternational Journal of Urban Sciences10.1080/12265934.2024.2429824(1-26)Online publication date: 20-Nov-2024
  • (2023)The Smart City and Healthy Walking: An Environmental Comparison Between Healthy and the Shortest Route ChoicesUrban Planning10.17645/up.v8i2.64078:2Online publication date: 9-Mar-2023
  • (2023)Practical Technologies for Analysis, Recommendation, and Visualization of User Behavior and Social Environment Dataユーザ行動と社会環境データの分析・推薦・可視化の実践的応用技術IEICE ESS Fundamentals Review10.1587/essfr.17.1_7217:1(72-80)Online publication date: 1-Jul-2023
  • (2023)Urban high‐quality navigation path planning that integrates human emotion perception learningTransactions in GIS10.1111/tgis.1311927:8(2297-2319)Online publication date: 23-Nov-2023
  • (2022)Preference aware route recommendation using one billion geotagged tweetsProceedings of the 6th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising10.1145/3557992.3565990(1-10)Online publication date: 1-Nov-2022
  • (2021)Finding "retro" places in JapanProceedings of the 5th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising10.1145/3486183.3490999(1-4)Online publication date: 2-Nov-2021
  • (2021)Assessing bikeability with street view imagery and computer visionTransportation Research Part C: Emerging Technologies10.1016/j.trc.2021.103371132(103371)Online publication date: Nov-2021
  • (2021)Strategic and Crowd-Aware Itinerary RecommendationMachine Learning and Knowledge Discovery in Databases: Applied Data Science Track10.1007/978-3-030-67667-4_5(69-85)Online publication date: 25-Feb-2021
  • (2020)Beyond the Shortest Route: A Survey on Quality-Aware Route Navigation for PedestriansIEEE Access10.1109/ACCESS.2020.30119248(135569-135590)Online publication date: 2020
  • (2019)Rehab-PathProceedings of the 28th ACM International Conference on Information and Knowledge Management10.1145/3357384.3357843(2929-2932)Online publication date: 3-Nov-2019
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