@inproceedings{246aeb10e5c5469690c9b7ffe0e2f66e,
title = "Virtual portraitist: Aesthetic evaluation of selfies based on angle",
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.",
keywords = "Computational photography, Data mining, Image quality, Self-portrait",
author = "Yeh, {Mei Chen} and Lin, {Hsiao Wei}",
year = "2014",
month = nov,
day = "3",
doi = "10.1145/2647868.2656401",
language = "English",
series = "MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia",
publisher = "Association for Computing Machinery",
pages = "221--224",
booktitle = "MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia",
note = "2014 ACM Conference on Multimedia, MM 2014 ; Conference date: 03-11-2014 Through 07-11-2014",
}