UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 9 | Issue 1 | January 2022

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1908B34


Registration ID:
227795

Page Number

240-246

Share This Article


Jetir RMS

Title

Recognize Various Scenes using Classification methods in Million Images Dataset: A Review

Abstract

The scene reocognition provides the visual data from the level of the objects and the relation between the objects. The aim of the scene recognition is to reduce the semantic gap between the computer system and social life. In the form of the example,one can determine the contexts of an input image and classify them in to scenes such as forest, buildings seashores. Some of the issues of the scene recognition is forest, coast,tall buildings highways and street. The applications of the scene recognition are object detection , object recognition,text and video detection, matching human perception,robotics and graphics.This paper surveys on different techniques of scene recognition from single image to multi-million images. Scene recognition performs a task for context for the object recognition. The availability of the large datasets like Image Net leads to multi-million-item dataset initiatives. Scene Recognition is one of the successful methods of the recognition of the images.The variations in color, size of the image are often affected by complex backgrounds, different lighting conditions, shadows and reflections of the image. So solution to this problem is to enhance the accuracy of scene image recognition. This leads to a variety of applications such as understanding the scene, automatic localisation of the image.

Key Words

ImageNet, multimillion images, Scene recognition

Cite This Article

"Recognize Various Scenes using Classification methods in Million Images Dataset: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.240-246, June-2019, Available :http://www.jetir.org/papers/JETIR1908B34.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

"Recognize Various Scenes using Classification methods in Million Images Dataset: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp240-246, June-2019, Available at : http://www.jetir.org/papers/JETIR1908B34.pdf

Publication Details

Published Paper ID: JETIR1908B34
Registration ID: 227795
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 240-246
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0002637

Print This Page

Current Call For Paper

Jetir RMS