Open AccessImage Retrieval System-An Integrated Approach
Author(s) -
Himani Chugh,
Sheifali Gupta,
Meenu Garg
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1022/1/012040
Subject(s) - computer science , image retrieval , information retrieval , key (lock) , visual word , feature (linguistics) , image (mathematics) , matching (statistics) , feature extraction , automatic image annotation , content based image retrieval , artificial intelligence , mathematics , linguistics , philosophy , statistics , computer security
With the development of multimedia technology, the usage of large image database becomes possible and is rapidly increasing. These can be used for the purpose of retrieving files, which works on the mechanism of image search. Different databases are available on different websites like Instagram, Facebook, Twitter, Flickr, and Picasa. This paper shows the advantage of content-based image retrieval system, as well as its key technologies. Comparing to the shortcoming, only certain feature are used in the traditional system. This paper presents a review on different techniques of image retrieval techniques which are based on color, texture and shape of images. It also focuses on the feature extraction and representation, several commonly used algorithms and different methods used for matching of images.