Information Extraction using User Opinion Procedure
D.Saravanan, Faculty of Operations & IT ICFAI Business School (IBS), Hyderabad, The ICFAI Foundation for Higher Education (IFHE) (Deemed to be university u/s 3 of the UGC Act 1956) Hyderabad-India.
Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 10403-10407 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8252118419/2019©BEIESP | DOI: 10.35940/ijrte.D8252.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Image Reterival, Imager Feed Back, Image Pixel, Image Histrogram, Image Comparsion, Image Clustering.
Scope of the Article: Clustering.