Virtual portraitist: Aesthetic evaluation of selfies based on angle

Mei-Chen Yeh, Hsiao Wei Lin

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

10 Citations (Scopus)

Abstract

This work addresses the Huawei Grand Challenge that seeks solutions of quality improvement and functionality extension in computational photography. We propose virtual portraitist-a new method that helps users take good selfies in angle. Dissimilar to current solutions that mostly use a post-processing step to fix a photograph, the proposed method enables a novel function of recommending a good look before the photo is captured. This is achieved by using an automatic approach for estimating the aesthetic quality score of a selfie based on angle. In particular, a set of distinctive patterns discovered from a collection of online profile pictures are combined with head pose and camera orientation to rate the quality of a selfie. Experiments validate the effectiveness of the approach.

Original languageEnglish
Title of host publicationMM 2014 - Proceedings of the 2014 ACM Conference on Multimedia
PublisherAssociation for Computing Machinery, Inc
Pages221-224
Number of pages4
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
  • Data mining
  • Image quality
  • Self-portrait

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Virtual portraitist: Aesthetic evaluation of selfies based on angle'. Together they form a unique fingerprint.

Cite this