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Finding selfies of users in microblogged photos

Published: 11 July 2014 Publication History

Abstract

We examine the use of clustering to identify selfies in a social media user's photos. Faces are first detected within a user's photos followed by clustering using visual similarity. We define a cluster scoring scheme that uses a combination of within-cluster visual similarity and average face size in a cluster to rank potential selfie-clusters. Finally, we evaluate this ranking approach over a collection of Twitter users and discuss methods that can be used for improving performance in the future. An application of user selfies is estimating demographic information such as age, gender, and race in a more robust fashion.

References

[1]
Selfiecity. http://selfiecity.net.
[2]
"The Selfiest Cities in the World: TIME's Definitive Ranking" http://time.com/selfies-cities-world-rankings/.
[3]
http://www.forbes.com/sites/jaysondemers/2013/09/24/the-top-7-social-media-marketing-trends-that-will-dominate-2014/
[4]
K. Losse, The Return of the Selfie. http://www.newyorker.com/online/blogs/elements/2013/06/the-return-of-the-selfie.html
[5]
H. Chen, A. Gallagher, and B. Girod, "What's in a Name: First Names as Facial Attributes", In Proc. CVPR, 2013.
[6]
F. Raiber, and O. Kurland, "Ranking document clusters using Markov random fields", In Proc. of the 36th Int. ACM SIGIR, 2013.

Cited By

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  • (2016)(Re-)Appropriating Instagram for Social ResearchProceedings of the 7th 2016 International Conference on Social Media & Society10.1145/2930971.2930991(1-10)Online publication date: 11-Jul-2016

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Published In

cover image ACM Conferences
SoMeRA '14: Proceedings of the first international workshop on Social media retrieval and analysis
July 2014
72 pages
ISBN:9781450330220
DOI:10.1145/2632188
  • Program Chairs:
  • Markus Schedl,
  • Peter Knees,
  • Jialie Shen
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

Publication History

Published: 11 July 2014

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Author Tags

  1. instagram
  2. photos
  3. selfies
  4. social media analysis
  5. twitter

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SIGIR '14
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Acceptance Rates

SoMeRA '14 Paper Acceptance Rate 13 of 19 submissions, 68%;
Overall Acceptance Rate 13 of 19 submissions, 68%

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  • (2016)(Re-)Appropriating Instagram for Social ResearchProceedings of the 7th 2016 International Conference on Social Media & Society10.1145/2930971.2930991(1-10)Online publication date: 11-Jul-2016

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