Distinguishing paintings from photographs
作者：
Highlights：
•
摘要
We addressed the problem of automatically differentiating photographs of real scenes from photographs of paintings. We found that photographs differ from paintings in their color, edge, and texture properties. Based on these features, we trained and tested a classifier on a database of 6000 paintings and 6000 photographs. Using single features results in ∼70–80% correct discrimination performance, whereas a classifier using multiple features exceeds 90% correct discrimination.
论文关键词：
论文评审过程：Received 24 October 2002, Accepted 6 December 2004, Available online 18 August 2005.
论文官网地址：https://doi.org/10.1016/j.cviu.2004.12.002
