Online Search Tools - Image Retrieval/Search
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 1990s, by Banireddy Prasaad, Amar Gupta , Hoo-min Toong, and Stuart Madnick . [ 1 ] A 2008 survey article documented progresses after 2007. [ 2 ]
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Google has introduced the option of reverse search for similar images by allowing users to upload a photo or even paste a link of the image. Google probably uses the same technology that is used for face recognition, to scan across the web and come up with matches. Google Image search by drawing allows users to draw a sketch and search for it on Google Images. Google Image Search by Drawing Features Just use the mouse to quickly sketch something. Users can change the colours or even the size of the brush to make more intricate drawings.
Image search is evolving rapidly. Today the machine understands much more about images than just a year ago: it can read the text on the image, see its colors and classify it based on its form, shape and textures. So which advanced image search methods can we use today?
Content Based Image Retrieval
Twitter Images Search