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Real-time Wearable Computer Vision System for Improved Museum Experience

Authors:

Alberto Del BimboAuthors Info & Claims

MM '16: Proceedings of the 24th ACM international conference on Multimedia

Pages 703 - 704

https://doi.org/10.1145/2964284.2973813

Published: 01 October 2016 Publication History

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Abstract

The goal of this work is to implement a real-time computer vision system that can run on wearable devices to perform object classification and artwork recognition, to improve the experience of a museum visit through understanding the interests of users. Object classification helps to understand the context of the visit, e.g. differentiating when a visitor is talking with people, or just wandering through the museum, or if he is looking at an exhibit that interests him. Artwork recognition allows to provide automatically information of the observed item or to create a user profile based on what and how long a user has observed artworks.

Reference

[1]

J. Redmon, S. Divvala, R. Girshick, and A. Farhadi. You only look once: Unified, real-time object detection. arXiv preprint arXiv:1506.02640, 2015.

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Yuan W(2023)Accuracy Comparison of YOLOv7 and YOLOv4 Regarding Image Annotation Quality for Apple Flower Bud ClassificationAgriEngineering10.3390/agriengineering50100275:1(413-424)Online publication date: 20-Feb-2023
https://doi.org/10.3390/agriengineering5010027
Koulouris DTrastelis FMenychtas AKosmopoulos DMaglogiannis I(2023)Utilizing AR and Hybrid Cloud-Edge Platforms for Improving Accessibility in Exhibition AreasArtificial Intelligence Applications and Innovations10.1007/978-3-031-34107-6_14(171-182)Online publication date: 1-Jun-2023
https://doi.org/10.1007/978-3-031-34107-6_14
Barsocchi PGirolami MLa Rosa D(2021)Detecting Proximity with Bluetooth Low Energy Beacons for Cultural HeritageSensors10.3390/s2121708921:21(7089)Online publication date: 26-Oct-2021
https://doi.org/10.3390/s21217089
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Index Terms

Real-time Wearable Computer Vision System for Improved Museum Experience
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Object recognition
2. Information systems
  1. Information retrieval
    1. Specialized information retrieval
      1. Multimedia and multimodal retrieval

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Published In

MM '16: Proceedings of the 24th ACM international conference on Multimedia

October 2016

1542 pages

ISBN:9781450336031

DOI:10.1145/2964284

General Chairs:
Alan Hanjalic
Delft University of Technology
,
Cees Snoek
Qualcomm Research Netherlands / University of Amsterdam
,
Marcel Worring
University of Amsterdam
,
Moderator:
Dick Bulterman
CWI / VU University Amsterdam
,
Program Chairs:
Benoit Huet
EURECOM
,
Aisling Kelliher
Virginia Tech
,
Yiannis Kompatsiaris
CERTH-ITI
,
Jin Li
Microsoft

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2016

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SIGMM

MM '16: ACM Multimedia Conference

October 15 - 19, 2016

Amsterdam, The Netherlands

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MM '16 Paper Acceptance Rate 52 of 237 submissions, 22%;

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Yuan W(2023)Accuracy Comparison of YOLOv7 and YOLOv4 Regarding Image Annotation Quality for Apple Flower Bud ClassificationAgriEngineering10.3390/agriengineering50100275:1(413-424)Online publication date: 20-Feb-2023
https://doi.org/10.3390/agriengineering5010027
Koulouris DTrastelis FMenychtas AKosmopoulos DMaglogiannis I(2023)Utilizing AR and Hybrid Cloud-Edge Platforms for Improving Accessibility in Exhibition AreasArtificial Intelligence Applications and Innovations10.1007/978-3-031-34107-6_14(171-182)Online publication date: 1-Jun-2023
https://doi.org/10.1007/978-3-031-34107-6_14
Barsocchi PGirolami MLa Rosa D(2021)Detecting Proximity with Bluetooth Low Energy Beacons for Cultural HeritageSensors10.3390/s2121708921:21(7089)Online publication date: 26-Oct-2021
https://doi.org/10.3390/s21217089
Lanitis ATheodosiou ZPartaourides H(2021)Artwork Identification in a Museum Environment: A Quantitative Evaluation of Factors Affecting Identification AccuracyDigital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection10.1007/978-3-030-73043-7_50(588-595)Online publication date: 14-Apr-2021
https://doi.org/10.1007/978-3-030-73043-7_50
Franca MMarino LMartorana LLeo MCarcagni PDistante CSergi IPatrono L(2020)A Novel Approach based on Microservices Architectures and Computer Vision to improve access to Culture Heritage2020 5th International Conference on Smart and Sustainable Technologies (SpliTech)10.23919/SpliTech49282.2020.9243806(1-6)Online publication date: 23-Sep-2020
https://doi.org/10.23919/SpliTech49282.2020.9243806
Ragusa FFurnari ABattiato SSignorello GFarinella G(2019)Egocentric Visitors Localization in Cultural SitesJournal on Computing and Cultural Heritage 10.1145/327677212:2(1-19)Online publication date: 29-Apr-2019
https://dl.acm.org/doi/10.1145/3276772
Skoryukina NNikolaev DArlazarov V(2019)2D art recognition in uncontrolled conditions using one-shot learningEleventh International Conference on Machine Vision (ICMV 2018)10.1117/12.2523017(76)Online publication date: 15-Mar-2019
https://doi.org/10.1117/12.2523017
Quero JCruciani FSeidenari LEspinilla MNugent C(2019)Straightforward Recognition of Daily Objects in Smart Environments from Wearable Vision Sensor2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)10.1109/PERCOMW.2019.8730860(46-51)Online publication date: Mar-2019
https://doi.org/10.1109/PERCOMW.2019.8730860
Xiao SBian YYang CMeng XLiu SLi MSun QQi GLiu JZhou NWei Y(2018)Optimal Device Choice and Media Display: A Novel Multimedia Exhibition System Based on Multi-terminal Display PlatformProcedia Computer Science10.1016/j.procs.2018.03.056129(103-109)Online publication date: 2018
https://doi.org/10.1016/j.procs.2018.03.056
Majd MSafabakhsh R(2017)Impact of machine learning on improvement of user experience in museums2017 Artificial Intelligence and Signal Processing Conference (AISP)10.1109/AISP.2017.8324080(195-200)Online publication date: Oct-2017
https://doi.org/10.1109/AISP.2017.8324080

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A systematic review of digital transformation technologies in museum exhibition

Charting Experience Categories for Museum Exhibitions

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