DocumentCode :
3030130
Title :
Image retrieval based on content and image compression
Author :
Abdelrahim, Aly S. ; Abdelrahman, Mostafa A. ; Mahmoud, Ali ; Farag, Aly A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Louisville, Louisville, KY, USA
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
6696
Lastpage :
6703
Abstract :
Content-based image retrieval systems have become a reliable tool for many image database applications. There are several advantages of the image retrieval techniques compared to other simple retrieval approaches such as text-based retrieval techniques. This paper proposes an image retrieval technique that can be used for retrieving color images. In this paper, we propose two variations of an image abstraction technique based on signature bit strings and an appropriate similarity metric. The technique provides a compact representation of an image based on its color content and yields better retrieval effectiveness than classical techniques based on the images´ global color histograms (GCHs). The proposed technique has many applications. These applications are described in details in this paper.
Keywords :
content-based retrieval; data compression; image coding; image colour analysis; image retrieval; color image; content compression; content-based image retrieval system; global color histogram; image abstraction; image compression; image database; retrieval effectiveness; signature bit string; similarity metric; Feature extraction; Histograms; Image color analysis; Image retrieval; Measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
Type :
conf
DOI :
10.1109/ICMT.2011.6002070
Filename :
6002070
Link To Document :
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