A Review On Content Based Image Retrieval
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2018, Vol 17, Issue 2
Abstract
In current years, very huge collections of images and videos have grown swiftly. In parallel with this boom, content-based image retrieval and querying the indexed collections of images from the large database are required to access visible facts and visual information. Three of the principle additives of the visual images are texture, shape and color. Content based image retrieval from big sources has a wide scope in many application areas and software’s. To accelerate retrieval and similarity computation, the database images are analyzed and the extracted regions are clustered or grouped together with their characteristic feature vectors. As a result of latest improvements in digital storage technology, it's easy and possible to create and store the large quantity of images inside the image database. These collections may additionally comprise thousands and thousands of images and terabytes of visual information like their shape, texture and color. For users to make the most from those image databases, efficient techniques and mechanisms of searching should be devised. Having a computer to do the indexing primarily based on a CBIR scheme attempts to deal with the shortcomings of human-based indexing. Since anautomated process on a computer can analyze and process the images at a very quick and efficient rate that human can never do alone. In this paper, we will discuss the structure of CBIR with their feature vectors.
Authors and Affiliations
Bohar Singh, Mrs. Mehak Aggarwal
Keywords
Related Articles
- EP ID EP649754
- DOI 10.24297/ijct.v17i2.7607
- Views 106
- Downloads 0
Intention to purchase behavior on social e-commerce website across cultures (case study: Iranian online purchaser)
With the increasing popularity of social media, millions of users use social media services in the space such as Facebook, Twitter, MySpace, etc. Following that many organizations see this phenomenon as an opportunity to...
Eigen Faces and Principle Component Analysis for Face Recognition Systems: A Comparative Study
Face recognition has been largely used in biometric field as a security measure at air ports, passport verification, criminals' list verification, visa processing, and so on. Various literature studies suggested differen...
RELATIVE STUDY OF SOLVERS FOR FINITE ELEMENT ANALYSIS
A relative study of various linear simultaneous equation solvers has been made. The profile solver and the block solver which have been considered to be most effective solution techniques have been implemented. Medium to...
DO WE REALLY NEED COMPUTERS IN CLASSROOM INSTRUCTIONS
The Quality of education depends to a great extent on thequality of teachers. It is a known fact that quality teachers optfor an innovation in their teaching aspect through integratingtechnology in the classroom instruct...
Page Segmentation using XY Cut Algorithm in OCR Systems - A Review
Page segmentation is an important field to analyse patterns from the OCR Systems. In this paper we tried to present how page segmentation is done on the OCR systems. We discussed the XY Cut page segmentation algorithm. T...