UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 4
April-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIRER06019


Registration ID:
308614

Page Number

75-77

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Title

IMAGE RETRIEVAL BASED ON IMAGE SIZE IN SUPERVISED LEARNING

Abstract

This paper mainly aims at the image size retrieval system to display the images based on the image size. The image size may varies different size to be retrieved in the images. We have to find out and visualized the image size by sea born graph. Supervised learning of semantic searching is a method that allows users to draw generic and return similar drawn images. To analysis the top level of the images based on the image size. And to retrieve the images based on the image size. To analyse the image size based on the sea born graph and to find out the vector.

Key Words

retrieval, image size, sea born graph, vector.

Cite This Article

"IMAGE RETRIEVAL BASED ON IMAGE SIZE IN SUPERVISED LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.75-77, April-2021, Available :http://www.jetir.org/papers/JETIRER06019.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"IMAGE RETRIEVAL BASED ON IMAGE SIZE IN SUPERVISED LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp75-77, April-2021, Available at : http://www.jetir.org/papers/JETIRER06019.pdf

Publication Details

Published Paper ID: JETIRER06019
Registration ID: 308614
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier):
Page No: 75-77
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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