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Who's Time Is It Anyway?: Investigating the Accuracy of Camera Timestamps

Authors:

Bart Thomee,

Jose G. Moreno,

David A. ShammaAuthors Info & Claims

MM '14: Proceedings of the 22nd ACM international conference on Multimedia

Pages 909 - 912

https://doi.org/10.1145/2647868.2655066

Published: 03 November 2014 Publication History

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Abstract

People take photos all over the world at all times of day; each photo depicting a place and a moment worth capturing. In the context of multimedia analysis and social computing, accurate location and time information about where and when these photos were taken is of importance for understanding event semantics, image content and many other purposes. While location information associated with photos is known to be relatively accurate, time is not. From a sample of 10 million public Flickr photos, we observe that 37% of the photos differ more than an hour between their camera timestamps and GPS timestamps with respect to local time at the locations where the photos were taken. Erroneous time information may adversely influence the correctness of any kind of temporal analysis that relies on camera timestamps, as well as research and real-world applications that require accurate knowledge of when and where photos were captured. In light of our observations we propose a simple yet effective metadata-only technique for improving the accuracy of camera timestamps.

References

[1]

B. Brown, M. McGregor, and E. Laurier. iPhone in vivo: video analysis of mobile device use. In CHI, pages 1031--1040, 2013.

Digital Library

Google Scholar

[2]

M. D. Choudhury, M. Feldman, S. Amer-Yahia, N. Golbandi, R. Lempel, and C. Yu. Automatic Construction of Travel Itineraries using Social Breadcrumbs. In HT, pages 35--44, 2010.

Digital Library

Google Scholar

[3]

L. S. Kennedy, M. Naaman, S. Ahern, R. Nair, and T. Rattenbury. How Flickr helps us make sense of the world: context and content in community-contributed media collections. In MM, pages 631--640, 2007.

Digital Library

Google Scholar

[4]

D. Kirk, A. Sellen, C. Rother, and K. Wood. Understanding photowork. In CHI, pages 761--770, 2006.

Digital Library

Google Scholar

[5]

M. B. Kjærgaard, J. Langdal, G. Torben, and T. Toftkjær. EnTracked: energy-efficient robust position tracking for mobile devices. In MobiSys, pages 221--234, 2009.

Digital Library

Google Scholar

[6]

J. Paek, J. Kim, and R. Govindan. Energy-efficient rate-adaptive GPS-based positioning for smartphones. In MobiSys, pages 299--314, 2010.

Digital Library

Google Scholar

[7]

T. Rattenbury, N. Good, and M. Naaman. Towards automatic extraction of event and place semantics from Flickr tags. In SIGIR, pages 103--110, 2007.

Digital Library

Google Scholar

[8]

B. Shaw, J. Shea, S. Sinha, and A. Hogue. Learning to rank for spatiotemporal search. In WSDM, pages 717--726, 2013.

Digital Library

Google Scholar

[9]

United States Department of Defense. Global positioning system standard positioning service performance standard. 4th edition, 2008.

Google Scholar

[10]

Y. Zheng, L. Zhang, X. Xie, and W.-Y. Ma. Mining interesting locations and travel sequences from GPS trajectories. In WWW, pages 1--10, 2009.

Digital Library

Google Scholar

Cited By

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Gasco LSchifanella RAiello LQuercia DAsensio Cde Arcas G(2020)Social Media and Open Data to Quantify the Effects of Noise on HealthFrontiers in Sustainable Cities10.3389/frsc.2020.000412Online publication date: 2-Sep-2020
https://doi.org/10.3389/frsc.2020.00041
Bentley FKaye JShamma DGuerra-Gomez JKaye JDruin ALampe CMorris DHourcade J(2016)The 32 Days of ChristmasProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858255(5710-5714)Online publication date: 7-May-2016
https://dl.acm.org/doi/10.1145/2858036.2858255
Kalkowski SSchulze CDengel ABorth DFriedland GNgo CShamma D(2015)Real-time Analysis and Visualization of the YFCC100m DatasetProceedings of the 2015 Workshop on Community-Organized Multimodal Mining: Opportunities for Novel Solutions10.1145/2814815.2814820(25-30)Online publication date: 30-Oct-2015
https://dl.acm.org/doi/10.1145/2814815.2814820
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Index Terms

Who's Time Is It Anyway?: Investigating the Accuracy of Camera Timestamps
1. Information systems
  1. Information retrieval
    1. Document representation

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Information & Contributors

Information

Published In

MM '14: Proceedings of the 22nd ACM international conference on Multimedia

November 2014

1310 pages

ISBN:9781450330633

DOI:10.1145/2647868

General Chairs:
Kien A. Hua
University of Central Florida, USA
,
Yong Rui
Microsoft Research, China
,
Ralf Steinmetz
Technische Universitt Darmstadt, Germany
,
Program Chairs:
Alan Hanjalic
Delft University of Technology, Netherlands
,
Apostol (Paul) Natsev
Google, USA
,
Wenwu Zhu
Tsinghua University, China

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: 03 November 2014

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MM '14

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SIGMM

MM '14: 2014 ACM Multimedia Conference

November 3 - 7, 2014

Florida, Orlando, USA

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MM '14 Paper Acceptance Rate 55 of 286 submissions, 19%;

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

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Cited By

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Gasco LSchifanella RAiello LQuercia DAsensio Cde Arcas G(2020)Social Media and Open Data to Quantify the Effects of Noise on HealthFrontiers in Sustainable Cities10.3389/frsc.2020.000412Online publication date: 2-Sep-2020
https://doi.org/10.3389/frsc.2020.00041
Bentley FKaye JShamma DGuerra-Gomez JKaye JDruin ALampe CMorris DHourcade J(2016)The 32 Days of ChristmasProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858255(5710-5714)Online publication date: 7-May-2016
https://dl.acm.org/doi/10.1145/2858036.2858255
Kalkowski SSchulze CDengel ABorth DFriedland GNgo CShamma D(2015)Real-time Analysis and Visualization of the YFCC100m DatasetProceedings of the 2015 Workshop on Community-Organized Multimodal Mining: Opportunities for Novel Solutions10.1145/2814815.2814820(25-30)Online publication date: 30-Oct-2015
https://dl.acm.org/doi/10.1145/2814815.2814820
Quercia DAiello LSchifanella RDavies AGangemi ALeonardi SPanconesi A(2015)The Digital Life of Walkable StreetsProceedings of the 24th International Conference on World Wide Web10.1145/2736277.2741631(875-884)Online publication date: 18-May-2015
https://dl.acm.org/doi/10.1145/2736277.2741631
Flatow DNaaman MXie KVolkovich YKanza YCheng XLi HGabrilovich ETang J(2015)On the Accuracy of Hyper-local Geotagging of Social Media ContentProceedings of the Eighth ACM International Conference on Web Search and Data Mining10.1145/2684822.2685296(127-136)Online publication date: 2-Feb-2015
https://dl.acm.org/doi/10.1145/2684822.2685296

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