DocumentCode
2448644
Title
Novel weight allocation technique for image retrieval based on higher order colour moments and CCM texture features
Author
Jadhav, Dipti ; Phadke, Gargi ; Devane, Satish
Author_Institution
Ramrao Adik Inst. of Technol., Navi Mumbai, India
fYear
2012
fDate
16-18 July 2012
Firstpage
129
Lastpage
133
Abstract
Content Based Image Retrieval (CBIR) is a technique for retrieving images from a large database without using keyword annotation. Many researchers are developing various techniques for reducing the semantic gap between the results obtained and the user´s needs. This paper provides an efficient two stage CBIR method along with a new classical weight allocation technique. These weights are asssigned to database images. Descending order of the weights are used to retrieve images. This novel weight allocation technique gives appreciating results.
Keywords
content-based retrieval; feature extraction; image colour analysis; image retrieval; image texture; visual databases; CBIR; CCM texture features; content based image retrieval; higher order colour moments; image database; weight allocation technique; Animals; Feature extraction; Histograms; Image color analysis; Image retrieval; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Audio, Language and Image Processing (ICALIP), 2012 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4673-0173-2
Type
conf
DOI
10.1109/ICALIP.2012.6376599
Filename
6376599
Link To Document