DocumentCode
3002011
Title
Semantic Research on Content-Based Image Retrieval
Author
Chen, Zhijun
Author_Institution
Fac. of Math. & Comput. Sci., Hubei Univ., Wuhan, China
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
1
Lastpage
4
Abstract
The target of content-based image retrieval is to reduce the "semantic gap" between low-level visual features and high-level semantic features of image. The key of the further development of content-based image retrieval is the processing of image semantics. To enhance the capacity of content-based image retrieval systems, the image semantic model, image semantic extraction and image semantic retrieval system are researched in this paper. At last, the problems in image semantics are put forward and the directions of future development are suggested.
Keywords
content-based retrieval; feature extraction; image processing; image retrieval; content based image retrieval; high level semantic feature; image semantic extraction; image semantic model; low level visual feature; semantic gap; semantic research; Computers; Data mining; Feature extraction; Image retrieval; Object oriented modeling; Semantics; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location
Ningbo
Print_ISBN
978-1-4244-7871-2
Type
conf
DOI
10.1109/ICMULT.2010.5630971
Filename
5630971
Link To Document