Taking good selfies on your phone

Mei Chen Yeh, Hsiao Wei Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Selfies are in vogue because smartphones and social media websites have helped popularize the phenomenon whereby people can easily take and share self-portrait photographs. However, taking good selfies is not always a trivial task for end users. In this demonstration we present a tool for guiding users on which angles to take selfies from. Dissimilar to existing techniques that enhance the aesthetic quality of selfies through a post-processing procedure, the proposed approach focuses on the creation of a good look before the photo is captured. A few distinctive patterns automatically discovered from a collection of online profile pictures are used to score a selfie in angle. The technique should enable new features such as "virtual portraitist" for current consumer cameras and smartphones, providing an interactive approach for capturing selfies.

Original languageEnglish
Title of host publicationMM 2014 - Proceedings of the 2014 ACM Conference on Multimedia
PublisherAssociation for Computing Machinery, Inc
Pages751-752
Number of pages2
ISBN (Electronic)9781450330633
DOIs
Publication statusPublished - 2014 Nov 3
Event2014 ACM Conference on Multimedia, MM 2014 - Orlando, United States
Duration: 2014 Nov 32014 Nov 7

Publication series

NameMM 2014 - Proceedings of the 2014 ACM Conference on Multimedia

Other

Other2014 ACM Conference on Multimedia, MM 2014
CountryUnited States
CityOrlando
Period14/11/314/11/7

Keywords

  • Computational photography
  • Self-portrait
  • Selfie

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Media Technology
  • Software

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  • Cite this

    Yeh, M. C., & Lin, H. W. (2014). Taking good selfies on your phone. In MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia (pp. 751-752). (MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia). Association for Computing Machinery, Inc. https://doi.org/10.1145/2647868.2654865