DocumentCode :
2195389
Title :
Geometry preserving image retrieval using normalized scale coding
Author :
Vyshali, S. ; Subramanyam, M.V. ; Raajan, K.Soundara
Author_Institution :
ECE Dept, G.P.R.Engg college, Kurnool, India
fYear :
2015
fDate :
24-25 Jan. 2015
Firstpage :
1
Lastpage :
6
Abstract :
In the area of image retrieval, shape based coding is a simpler and effective approach of image representation. Among various approaches of image representation for shape defining, curvature based coding is an advanced and quite effective way of image coding. In the approach of image representation using curvature coding, the shape is defined by closed contour. Wherein contours are shape representing approach, they may be very large in representation and hence result in resource overhead. To minimize the resource overhead in image retrieval system, a normalized scale contour coding is proposed. This approach preserves the shape description, with reducing number of feature vectors.
Keywords :
Certification; IEEE publications; Image coding; Interviews; Media; Nose; System-on-chip; Image retrieval; Normalized scale coding; geometry preserving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
Conference_Location :
Visakhapatnam, India
Print_ISBN :
978-1-4799-7676-8
Type :
conf
DOI :
10.1109/EESCO.2015.7253843
Filename :
7253843
Link To Document :
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