DocumentCode :
2550978
Title :
Design of retrieval system for Web images based on semantic analysis
Author :
Lu, Wenpeng ; Li, Haixia ; Xue, Ruojuan ; Liu, Bin
Author_Institution :
Sch. of Sci., Shandong Polytech. Univ., JiNan, China
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
2304
Lastpage :
2307
Abstract :
In order to satisfy the requirement of users to automatically retrieve Web images with natural language, a retrieval system for Web images based on semantic analysis is designed in the paper. Compared with the system based on keywords and the system based on content, the retrieval system based on semantic analysis allows users to describe its requirement with natural language. The system would analyze the semantic information and other features about target image, retrieve relevant images from image database and display them to users. The retrieval system would be helpful for users to retrieve images with a more convenient method.
Keywords :
Internet; image retrieval; natural language processing; visual databases; Web images; image database; natural language; retrieval system; semantic analysis; semantic information; Educational institutions; Feature extraction; Image color analysis; Image retrieval; Natural languages; Semantics; image retrieval; natural language understanding; semantic analysis; similarity computation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
Type :
conf
DOI :
10.1109/FSKD.2012.6234241
Filename :
6234241
Link To Document :
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