DocumentCode :
2953417
Title :
An effective method to detect seal images from traditional Chinese paintings
Author :
Bao, Hong ; De Xu ; Feng, Songhe
Author_Institution :
Inst. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
fYear :
2009
fDate :
13-15 Nov. 2009
Firstpage :
1
Lastpage :
4
Abstract :
At present, more and more traditional Chinese paintings (TCPs) have been digitized and exhibited on the Internet. How to effectively brose and retrieve these images have emerged as a hot topic. Most existing algorithms typically use the global color and texture low-level visual features to describe the content of the traditional Chinese paintings, where the semantic information has been omitted. As an important semantic cue in a traditional Chinese painting, the seal information can provide rich and important semantic meanings to describe the images. To this end, this paper proposed an effective method to detect the seal images from traditional Chinese paintings. The experimental results have demonstrated the effectiveness of the propose method.
Keywords :
art; feature extraction; image recognition; Chinese paintings; seal image; seal information; semantic information; semantic meaning; Autocorrelation; Brushes; Digital images; Feature extraction; Image retrieval; Information technology; Ink; Internet; Painting; Seals; Color model; Seal image extraction; Template matching; Traditional Chinese paintings; structure features;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4856-2
Electronic_ISBN :
978-1-4244-5668-0
Type :
conf
DOI :
10.1109/WCSP.2009.5371700
Filename :
5371700
Link To Document :
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