ACQUINE: Aesthetic Quality Inference Engine -
Real-time Automatic Rating of Photo Aesthetics
Ritendra Datta and James Z. Wang
The Pennsylvania State University
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
Full color PDF file (1.26 MB)
Ritendra Datta and James Z. Wang, ``ACQUINE: Aesthetic Quality Inference Engine - Real-time Automatic Rating of Photo Aesthetics,''
Proceedings of the ACM
International Conference on Multimedia Information Retrieval, pp. 421-424,
Philadelphia, PA, 2010.
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January 10, 2010