Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICME.2005.1521654
Title: Analysis and retrieval of paintings using artistic color concepts
Authors: Yelizaveta, M. 
Tat-Seng, C. 
Irina, A. 
Issue Date: 2005
Source: Yelizaveta, M.,Tat-Seng, C.,Irina, A. (2005). Analysis and retrieval of paintings using artistic color concepts. IEEE International Conference on Multimedia and Expo, ICME 2005 2005 : 1246-1249. ScholarBank@NUS Repository. https://doi.org/10.1109/ICME.2005.1521654
Abstract: Traditionally artistic color concepts play an important role in the analysis of artworks, and provide valuable domain knowledge to guide the analysis and accurate retrieval of paintings. This paper presents an automated approach to analyzing and representing artistic color concepts such as color temperature, color palette and color contrasts in paintings domain. The color concept definitions rely on the widely accepted color theory of Itten. Our approach starts with the extraction of homogeneous color/texture regions from paintings, and employs image processing and machine learning techniques to characterize regions in terms of artistic color concepts. We evaluate the proposed method using collection of 1,000 paintings, which exhibit vast variety of painting styles and artistic color concepts. Experiments show that our method performs well for a vast variety of both spatial and non-spatial artistic color concept queries. ©2005 IEEE.
Source Title: IEEE International Conference on Multimedia and Expo, ICME 2005
URI: http://scholarbank.nus.edu.sg/handle/10635/43150
ISBN: 0780393325
DOI: 10.1109/ICME.2005.1521654
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

13
checked on Dec 5, 2017

Page view(s)

90
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.