DocumentCode :
3111070
Title :
A Composite Descriptor for Shape Retrieval
Author :
Sajjanhar, Atul ; Lu, Guojun ; Zhang, Dengsheng ; Zhou, Wanlei
Author_Institution :
Deakin Univ., Burwood
fYear :
2007
fDate :
11-13 July 2007
Firstpage :
795
Lastpage :
800
Abstract :
In this paper, a composite descriptor for shape retrieval has been proposed. The proposed descriptor is obtained from generic fourier descriptors (GFD) for the shape region and the shape contour. A composite descriptor derived from GFD of the shape region and the shape contour is used for indexing and retrieval of shapes. Difference between two images is computed as the Euclidean distance between their composite descriptors. Experiments are performed to test the effectiveness of the proposed descriptor for retrieval of 2d images. Sets of composite descriptors, obtained by assigning different weights to the region component and the contour component, are also evaluated. Item S8 within the MPEG-7 still images content set is used for performing experiments; this dataset consists of 3621 still images. Experimental results show that the proposed descriptor is effective.
Keywords :
Fourier transforms; image retrieval; Euclidean distance; composite descriptor; generic Fourier descriptor; shape contour; shape indexing; shape region; shape retrieval; Australia; Clouds; Euclidean distance; Image retrieval; Indexing; Information retrieval; Information technology; Performance evaluation; Road transportation; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science, 2007. ICIS 2007. 6th IEEE/ACIS International Conference on
Conference_Location :
Melbourne, Qld.
Print_ISBN :
0-7695-2841-4
Type :
conf
DOI :
10.1109/ICIS.2007.13
Filename :
4276479
Link To Document :
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