Extracting Semantic Information from Art Images
نویسندگان
چکیده
This paper presents a method for automatic annotation of portraits in art image databases and discusses the extraction of semantic information from portraits. The proposed method segments images into candidate regions and fits an ellipse and a bounding box to them. Their extracted features serve as input to a neural network, which is trained to distinguish between face and non-face regions. Paintings containing face regions are classified as portraits. The method evaluation is done on a set of 188 digital paintings using ROC curves as performance measures. The results show that the method is very efficient in locating the face regions and in the recognition of portrait paintings. The performance of the algorithm is encouraging for its further development, which includes the extraction of portrait-specific semantic information.
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