Thursday, November 10, 2011

Algoritmic Inferencing of Natural Images

http://infolab.stanford.edu/~wangz/project/imsearch/Aesthetics/ICIP08/datta.pdf

Photo.net
DPChallenge
Terragalleria
Alipr

The authors of the study collected data from these four websites that let users rate the quality and aesthetics of photographs. They applied this data to aesthetic algorithms. Three questions were used to accumulate the data:
Score Prediction: Rating the photo 1 to 10, or 1 to 7
Class Prediction: High or Low, Professional or Snapshot
Emotion Prediction: Amusing, scary, boring, pleasing, irritating

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