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Keep an eye on your photos: automatic image tagging on mobile devices

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MobileHCI '14: Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services

Pages 513 - 518

https://doi.org/10.1145/2628363.2634225

Published: 23 September 2014 Publication History

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Abstract

In this paper we present how to tag images automatically based on the image and sensor data from a mobile device. We developed a system that computes low-level tags using the image itself and meta data. Based on these tags and previous user tags we learn high-level tags. With a client-server-implementation we source out computational expensive algorithms to recommend the tags as fast as possible. We show what are the best feature extraction methods in combination with a machine learning technique to recommend good tags.

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Cited By

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Runge NWenig DZitzmann DMalaka R(2022)Tags You Don’t Forget: Gamified Tagging of Personal ImagesEntertainment Computing - ICEC 201510.1007/978-3-319-24589-8_23(301-314)Online publication date: 10-Mar-2022
https://dl.acm.org/doi/10.1007/978-3-319-24589-8_23
Min WJiang SWang SXu RCao YHerranz LHe Z(2017)A survey on context-aware mobile visual recognitionMultimedia Systems10.1007/s00530-016-0523-823:6(647-665)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1007/s00530-016-0523-8
Runge NHellmeier MWenig DMalaka RPaternò FVäänänen KChurch KHäkkilä JKrüger ASerrano M(2016)Tag your emotionsProceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct10.1145/2957265.2961836(846-853)Online publication date: 6-Sep-2016
https://dl.acm.org/doi/10.1145/2957265.2961836

Index Terms

Keep an eye on your photos: automatic image tagging on mobile devices
1. Human-centered computing

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Published In

MobileHCI '14: Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services

September 2014

664 pages

ISBN:9781450330046

DOI:10.1145/2628363

Conference Chairs:
Aaron Quigley
University of St. Andrews, UK
,
Sara Diamond
OCAD University, Canada
,
Program Chairs:
Pourang Irani
University of Manitoba, Canada
,
Sriram Subramanian
University of Bristol, UK

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 23 September 2014

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MobileHCI '14

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SIGCHI

MobileHCI '14: 16th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 23 - 26, 2014

ON, Toronto, Canada

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MobileHCI '14 Paper Acceptance Rate 35 of 124 submissions, 28%;

Overall Acceptance Rate 202 of 906 submissions, 22%

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MobileHCI '25

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sigchi

27th International Conference on Mobile Human-Computer Interaction

September 22 - 26, 2025

Sharm El-Sheikh , Egypt

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Runge NWenig DZitzmann DMalaka R(2022)Tags You Don’t Forget: Gamified Tagging of Personal ImagesEntertainment Computing - ICEC 201510.1007/978-3-319-24589-8_23(301-314)Online publication date: 10-Mar-2022
https://dl.acm.org/doi/10.1007/978-3-319-24589-8_23
Min WJiang SWang SXu RCao YHerranz LHe Z(2017)A survey on context-aware mobile visual recognitionMultimedia Systems10.1007/s00530-016-0523-823:6(647-665)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1007/s00530-016-0523-8
Runge NHellmeier MWenig DMalaka RPaternò FVäänänen KChurch KHäkkilä JKrüger ASerrano M(2016)Tag your emotionsProceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct10.1145/2957265.2961836(846-853)Online publication date: 6-Sep-2016
https://dl.acm.org/doi/10.1145/2957265.2961836

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Recommendations

Tagging photos using users' vocabularies

Tagging Personal Photos with Transfer Deep Learning

Keep Querying and Tag on: Collaborative Folksonomy Using Model-Based Recommendation

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