Please use this identifier to cite or link to this item:
|Title:||Identifying painters from color profiles of skin patches in painting images|
|Citation:||Widjaja, I.,Leow, W.K.,Wu, F.-C. (2003). Identifying painters from color profiles of skin patches in painting images. IEEE International Conference on Image Processing 1 : 845-848. ScholarBank@NUS Repository.|
|Abstract:||Research on digital analysis of painting images has received very little attention. The exact nature of scientific methods seems to be antithesis of art. Nevertheless, several papers have proposed methods to bridge this gap and have obtained interesting results. In fact, some art theorists have pointed out the usefulness of specific quantization features in the paintings. This paper presents a method for identifying painters using color profiles of skin patches in painting images. Various color models for representing the color profiles were explored. Various implementations of multi-class Support Vector Machine classifiers were compared. We found that a weighted combination of several Directed Acyclic Graph SVMs with Gaussian kernels gives the best classification performance.|
|Source Title:||IEEE International Conference on Image Processing|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 27, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.