@article{43291a81bde244b6a4b34e859dcba379,
title = "Virtual portraitist: An intelligent tool for taking well-posed selfies",
abstract = "Smart photography carries the promise of quality improvement and functionality extension in making aesthetically appealing pictures. In this article, we focus on self-portrait photographs and introduce newmethods that guide a user in how to best pose while taking a selfie. While most of the current solutions use a post processing procedure to beautify a picture, the developed tool enables a novel function of recommending a good look before the photo is captured. Given an input face image, the tool automatically estimates the pose-based aesthetic score, finds the most attractive angle of the face, and suggests how the pose should be adjusted. The recommendation results are determined adaptively to the appearance and initial pose of the input face. We apply a data mining approach to find distinctive, frequent itemsets and association rules from online profile pictures, upon which the aesthetic estimation and pose recommendation methods are developed. A simulated and a real image set are used for experimental evaluation. The results show the proposed aesthetic estimation method can effectively select user-favorable photos. Moreover, the recommendation performance for the vertical adjustment is moderately related to the degree of conformity among the professional photographers' recommendations. This study echoes the trend of instant photo sharing, in which a user takes a picture and then immediately shares it on a social network without engaging in tedious editing.",
keywords = "Computational aesthetics, Pose recommendation, Selfie, Smart photography",
author = "Hu, {Chuan Shen} and Hsieh, {Yi Tsung} and Lin, {Hsiao Wei} and Yeh, {Mei Chen}",
note = "Funding Information: This work was supported by the Ministry of Science and Technology of Taiwan (MOST 104-2221-E-003-020, MOST 105-2221-E-003-023). Authors{\textquoteright} addresses: C.-S. Hu, Y.-T. Hsieh, H.-W. Lin, and M.-C. Yeh, Department of Computer Science and Information Engineering, National Taiwan Normal University, No. 88, Sec. 4, Tingzhou Rd., Taipei, Taiwan; emails: peterbill26@hotmail.com, boboandyao1001@gmail.com, allison1125@hotmail.com, myeh@csie.ntnu.edu.tw. 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 permissions@acm.org. {\textcopyright} 2019 Association for Computing Machinery. 1551-6857/2019/01-ART12 $15.00 https://doi.org/10.1145/3288760 Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.",
year = "2019",
month = jan,
doi = "10.1145/3288760",
language = "English",
volume = "15",
journal = "ACM Transactions on Multimedia Computing, Communications and Applications",
issn = "1551-6857",
publisher = "Association for Computing Machinery (ACM)",
number = "1s",
}