DocumentCode :
736945
Title :
Research and Implementation of Content-Based Image Retrieval Technology
Author :
Meng, Li Jun
fYear :
2015
fDate :
13-14 June 2015
Firstpage :
807
Lastpage :
811
Abstract :
Information technology and Internet use and popularity of various digital terminal equipment, greatly enrich the database of digital images, at the same time, also brought new challenges to the image information retrieval. Content-based image retrieval technology is the key content in the field of image retrieval theory research, this article embarks from the content-based image retrieval technology system, studies the retrieval technology of the composition of the system framework and module, and expounds in detail the implementation process of content-based image retrieval technology. To provide theoretical and practical references for the creation of efficient, fast and universal image retrieval system.
Keywords :
Feature extraction; Image color analysis; Image retrieval; Libraries; Support vector machines; Training; Content retrieval; Image storehouse; Retrieval technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on
Conference_Location :
Nanchang, China
Print_ISBN :
978-1-4673-7142-1
Type :
conf
DOI :
10.1109/ICMTMA.2015.199
Filename :
7263693
Link To Document :
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