Open AccessInformation Extraction using User Opinion Procedure
Author(s) -
D. Saravanan
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d8252.118419
Subject(s) - computer science , image (mathematics) , relevance (law) , information retrieval , frame (networking) , process (computing) , image retrieval , extraction (chemistry) , information extraction , data mining , computer vision , artificial intelligence , telecommunications , political science , law , operating system , chemistry , chromatography
Increasing in the demand of informaiton extraction content based image retrieval play and vital role. Extracting image information is not an easy process because of the image attribute nature. From the availiable huge data sets extracting the particular image frame or image content really big challenge for many researchers. To address is issue in this paper a propsed relevance feedback image system is developed. This system reduce the complex image search operation and the same time brings the more relavant outputs. Experimental results shows that the proposed system reduces the number of inteion compare to the exsiting image reterival operations and improve the effeciency campare with the exisiting technqiues