TY - GEN
T1 - Acquine
T2 - 2010 ACM SIGMM International Conference on Multimedia Information Retrieval, MIR 2010
AU - Datta, Ritendra
AU - Wang, James Z.
PY - 2010
Y1 - 2010
N2 - We present ACQUINE - Aesthetic Quality Inference Engine, a publicly accessible system which allows users to upload their photographs and have them rated automatically for aesthetic quality. The system integrates a support vector machine based classifier which extracts visual features on the fly and performs real-time classification and prediction. As the first publicly available tool for automatically determining the aesthetic value of an image, this work is a significant first step in recognizing human emotional reaction to visual stimulus. In this paper, we discuss fundamentals behind this system, and some of the challenges faced while creating it. We report statistics generated from over 140,000 images uploaded by Web users. The system is demonstrated at http://acquine.alipr.com.
AB - We present ACQUINE - Aesthetic Quality Inference Engine, a publicly accessible system which allows users to upload their photographs and have them rated automatically for aesthetic quality. The system integrates a support vector machine based classifier which extracts visual features on the fly and performs real-time classification and prediction. As the first publicly available tool for automatically determining the aesthetic value of an image, this work is a significant first step in recognizing human emotional reaction to visual stimulus. In this paper, we discuss fundamentals behind this system, and some of the challenges faced while creating it. We report statistics generated from over 140,000 images uploaded by Web users. The system is demonstrated at http://acquine.alipr.com.
UR - http://www.scopus.com/inward/record.url?scp=77952345723&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952345723&partnerID=8YFLogxK
U2 - 10.1145/1743384.1743457
DO - 10.1145/1743384.1743457
M3 - Conference contribution
AN - SCOPUS:77952345723
SN - 9781605588155
T3 - MIR 2010 - Proceedings of the 2010 ACM SIGMM International Conference on Multimedia Information Retrieval
SP - 421
EP - 424
BT - MIR 2010 - Proceedings of the 2010 ACM SIGMM International Conference on Multimedia Information Retrieval
Y2 - 29 March 2010 through 31 March 2010
ER -