DocumentCode :
2926536
Title :
Multi-level shape description technique
Author :
Salih, N.D. ; Besar, Rosli ; Abas, F.S.
Author_Institution :
Fac. of Inf. Technol., Multimedia Univ., Cyberjaya, Malaysia
fYear :
2011
fDate :
14-16 Nov. 2011
Firstpage :
1
Lastpage :
5
Abstract :
Image database querying has become a major area of research and received increased attention. Shape representation is one of the major problems in content-based image retrieval (CBIR). Shape representation generally looks for effective ways to capture the essence of the shape features that make it easier for shapes to be stored, recognized, compared against, and retrieved. In this paper, we shall present a structural shape representation and description technique, where object shape is represented at multiple levels of abstraction. This technique has been implemented in order to analyze its retrieval accuracy, the performance evaluation showed very remarkable and promising results.
Keywords :
content-based retrieval; image retrieval; shape recognition; visual databases; CBIR; content-based image retrieval; image database querying; multilevel shape description technique; object shape; shape description; shape features; shape representation; Fourier transforms; Image retrieval; Pattern recognition; Shape; Vectors; Visualization; CBIR; Shape description; Shape signature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Multimedia (ICIM), 2011 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0988-3
Type :
conf
DOI :
10.1109/ICIMU.2011.6122763
Filename :
6122763
Link To Document :
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