ACQUINE (Aesthetic Quality Inference Engine) is a machine-learning based online system of computer-based prediction of aesthetic quality for color natural photographic pictures. In our opinion, even though Acquine has much room for improvements, this is an important step in the intersection of computer science research and the arts because it shows that computers can learn about and exhibit "emotional responses" to visual stimilus like humans do. It has been developed at Penn State since about 2005. Dr. Ritendra Datta (now with the Google engineering office in Pittsburgh) was the main developer, working with Prof. Jia Li and Prof...

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