TY - GEN
T1 - Assessing the aesthetic quality of photographs through group comparison
AU - Yeh, Mei Chen
AU - Chuang, Chun Hui
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/18
Y1 - 2014/9/18
N2 - The availability and exponential growth in online media provides opportunities for understanding and responding to real world challenges. In this paper we investigate the photo quality assessment problem using a large volume of online images retrieved by Google Image Search. To effectively use the big data, we present new approaches that compute discriminative features from a group of relevant images. We also evaluate two popular regression models, support vector regression (SVR) and ranking support vector machine (RankSVM), for their effectiveness in predicting an aesthetic score from the features. Experiments using 99,000 online images provide interesting results. We examine and identify the cases in which online images facilitate the automatic rating task.
AB - The availability and exponential growth in online media provides opportunities for understanding and responding to real world challenges. In this paper we investigate the photo quality assessment problem using a large volume of online images retrieved by Google Image Search. To effectively use the big data, we present new approaches that compute discriminative features from a group of relevant images. We also evaluate two popular regression models, support vector regression (SVR) and ranking support vector machine (RankSVM), for their effectiveness in predicting an aesthetic score from the features. Experiments using 99,000 online images provide interesting results. We examine and identify the cases in which online images facilitate the automatic rating task.
UR - http://www.scopus.com/inward/record.url?scp=84907789934&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84907789934&partnerID=8YFLogxK
U2 - 10.1109/ICCE-TW.2014.6904116
DO - 10.1109/ICCE-TW.2014.6904116
M3 - Conference contribution
AN - SCOPUS:84907789934
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
SP - 91
EP - 92
BT - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2014
Y2 - 26 May 2014 through 28 May 2014
ER -