An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, or descriptions to the images so that retrieval can be performed over the annotation words. Manual image annotation is time-consuming, laborious and expensive; to address this, there has been a large amount of research done on automatic image annotation. Additionally, the increase in social web applications and the semantic web have inspired the development of several web-based image annotation tools.
The first microcomputer-based image database retrieval system was developed at MIT, in the 1980s, by Banireddy Prasaad, Amar Gupta, Hoo-min Toong, and Stuart Madnick.
A 2008 survey article documented progresses after 2007.
Read more about Image Retrieval: Search Methods, Data Scope, Evaluations
Famous quotes containing the word image:
“The places we have known do not only belong to the world of space in which we situate them for the sake of simplicity. They were but a thin slice between contiguous impression which formed our lives back then; the memory of a certain image is but the regret of a certain instant; and the houses, the roads, the avenues are fleeting, alas! as the years.”
—Marcel Proust (1871–1922)