DocumentCode :
2784500
Title :
Implementation of FII-based Image Retrieval Engine
Author :
Hao, Tan ; Yu, Chen ; Hang, Qiu
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2009
fDate :
23-25 Oct. 2009
Firstpage :
349
Lastpage :
351
Abstract :
An Image Feature Inverted Indexing(FII) method is proposed. Based on this method, a prototype of Content-Based Image Retrieval Engine named Eva is implemented. It extracts shape and texture feature from user´s pictures, retrieves similar pictures with FII method. The efficiency of FII is also analyzed.
Keywords :
content-based retrieval; feature extraction; image retrieval; indexing; Eva; FII method; content based image retrieval engine; image feature inverted indexing method; shape and texture feature extraction; shape extraction; Content based retrieval; Data mining; Feature extraction; Image retrieval; Indexing; Information retrieval; Internet; Prototypes; Search engines; Shape; Feature inverted indexing; Image retrieval engine; Shape and texture feature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5204-0
Electronic_ISBN :
978-1-4244-5206-4
Type :
conf
DOI :
10.1109/ICACIA.2009.5361084
Filename :
5361084
Link To Document :
بازگشت