DocumentCode :
1930803
Title :
Design and implementation of connoisseur annotated metadata based image retrieval system -a case study
Author :
Kumar, Vinod ; Lehri, Sushma ; Sharma, Ashok Kumar ; Kumar, Arvind
Author_Institution :
Directorate of Rapeseed-Mustard Res., Bharatpur, India
Volume :
3
fYear :
2010
fDate :
9-11 July 2010
Firstpage :
154
Lastpage :
159
Abstract :
In recent years digital cameras have seen a revolution in digital image collection and thousands of quality images can be collected quickly and easily. The connoisseur image annotation is an effective approach for making image organization and browsing simple and quick, even for very large collections. The design and implementation of text base query system is particular concern with the management and retrieval of rapeseed-mustard research images collection. The performance of retrieving an image in terms of text-type of queries depends on the quality of the annotated descriptive metadata that describes the content of the images. We showed that the image retrieval using connoisseur annotation approach significantly lead to the improvement of the recall and precision of image retrieval.
Keywords :
agriculture; cameras; image retrieval; meta data; connoisseur annotated metadata; connoisseur image annotation; digital cameras; digital image collection; image organization; image retrieval system; rapeseed-mustard research images collection; text base query system; Databases; Image coding; Transform coding; annotation; image retrieval; meta database; mustard;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
Type :
conf
DOI :
10.1109/ICCSIT.2010.5563695
Filename :
5563695
Link To Document :
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