Content Based Image Retrieval


Authors : Roshni Sahu, Shital Zade, Sonal Kamble, Payal Bhagat, Bhaghyashri Awachat, Mayur Dakhane.

Volume/Issue : Volume 4 - 2019, Issue 3 - March

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2G1wUww

Thomson Reuters ResearcherID : https://goo.gl/KTXLC3

To the explosive growth of digital image there is need of efficient and effective technique to image retrieval from database or from the internet. Now day no one can have that much of time that they will check or visit each image and check, is it required image or not. So Present new technique of image retrieval system which is based on the combination of both text and content based. The idea behind TBIR (text-based image retrieval) is that it uses the title, tag, character which is present inside the image i.e. metadata using this feature retrieve image. In CBIR (content-based image retrieval) image retrieving based on image feature i.e. colour, texture, shape, etc. Using these two techniques we can extract image from their feature. Main aim by using this type of system is to reduce the time when we retrieve one image from database.

Keywords : Image Retrieval, TBIR (Text-Based Image Retrieval), CBIR (Content-Based Image Retrieval), Color, Shape, Texture, Metadata.

CALL FOR PAPERS


Paper Submission Last Date
30 - April - 2024

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe