Title :
Simulation of Human Opinions about Calligraphy Aesthetic
Author :
Perez, Ana ; Cermeno, Eduardo ; Siguenza, Juan Alberto
Author_Institution :
Res. Dept., Vaelsys, Madrid, Spain
Abstract :
This paper proposes a method for simulating human opinions about graphical artistic expressions like calligraphy using computers. Scanned images of handwriting texts from a large database are labeled as "beautiful writing" or "ugly writing" by two persons based on their own likes. Our objective is to replicate these opinions using machine learning techniques. Shape features are extracted from the images in order to encode aesthetic principles. A classifier based on k-nearest-neighbors algorithm is trained to automatically label images. The results are promising since most of the different configurations of the system present good performance. Both, method and feature selection results could be of use for future work on aesthetic classification by computers.
Keywords :
art; feature extraction; feature selection; history; image classification; learning (artificial intelligence); shape recognition; aesthetic classification; aesthetic principles; calligraphy aesthetic; feature selection; graphical artistic expressions; human opinion simulation; k-nearest-neighbors algorithm; machine learning techniques; scanned handwriting text images; shape feature extraction; Classification algorithms; Computers; Databases; Shape; Testing; Training; Writing; aesthetic; artifcial intelligence; calligraphy; classification; feature selection; handwriting; model; shape feature; simulation;
Conference_Titel :
Artificial Intelligence, Modelling and Simulation (AIMS), 2014 2nd International Conference on
Print_ISBN :
978-1-4799-7599-0
DOI :
10.1109/AIMS.2014.34