Content Based Reverse Image Search
Keywords:
Content-based image retrieval technique (CBIT), Reverse Image Search (RIS), CCV, Image Feature Inverted Index, Compact Composite Descriptor (CCD).
Abstract
People can now get access to the required image with a relevant degree of information thanks to the broad improvement of the WWW. Details, photos, flow charts, logos, maps, and other information However, discovering and obtaining relevant information is always a challenge. There are certain text-based search engines, such as Google, that may be used to find desired photographs from the vast pool of images available on the internet. As a result, here need for the pictures online search engine that can search for related and proper images. Content-based image retrieval query approach is same as Reverse image search that involves giving the CBIR device an example photo and having it find photos based on that image. Reverse image search mostly used to find out either information or photos linked to the query image, as well as accurate images.Downloads
Download data is not yet available.
Published
2022-06-30
Section
Research Articles
Copyright (c) 2022 Journal of Advanced Scientific Research
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.