COMPARATIVE ANALYSIS OF IMAGE RETRIEVAL TECHNIQUES IN CYBERSPACE

Journal of Business & Economics Research (JBER)

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Field Value
 
Title COMPARATIVE ANALYSIS OF IMAGE RETRIEVAL TECHNIQUES IN CYBERSPACE
 
Creator Gupta, Rajeev
Singh, Virender
 
Subject CBIR
Image Retrieval
Cyberspace
Semantic
CBIR
 
Description Purpose: With the popularity and remarkable usage of digital images in various domains, the existing image retrieval techniques need to be enhanced. The content-based image retrieval is playing a vital role to retrieve the requested data from the database available in cyberspace. CBIR from cyberspace is a popular and interesting research area nowadays for a better outcome. The searching and downloading of the requested images accurately based on meta-data from the cyberspace by using CBIR techniques is a challenging task. The purpose of this study is to explore the various image retrieval techniques for retrieving the data available in cyberspace. 
Methodology: Whenever a user wishes to retrieve an image from the web, using present search engines, a bunch of images is retrieved based on a user query. But, most of the resultant images are unrelated to the user query. Here, the user puts their text-based query in the web-based search engine and compute the related images and retrieval time.
Main Findings:  This study compares the accuracy and retrieval-time of the requested image. After the detailed analysis, the main finding is none of the used web-search engines viz. Flickr, Pixabay, Shutterstock, Bing, Everypixel, retrieved the accurate related images based on the entered query.  
Implications: This study is discussing and performs a comparative analysis of various content-based image retrieval techniques from cyberspace.
Novelty of Study: Research community has been making efforts towards efficient retrieval of useful images from the web but this problem has not been solved and it still prevails as an open research challenge. This study makes some efforts to resolve this research challenge and perform a comparative analysis of the outcome of various web-search engines.
 
Publisher GIAP Journals
 
Date 2020-01-26
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://giapjournals.com/ijsrtm/article/view/ijsrtm.2020.811
10.18510/ijsrtm.2020.811
 
Source International Journal of Students' Research in Technology & Management; Vol. 8 No. 1 (2020); 01-10
2321-2543
 
Language eng
 
Relation https://giapjournals.com/ijsrtm/article/view/ijsrtm.2020.811/2683
 

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