Reverse image search

Reverse image search is a Content-based image retrieval(CBIR) query technique that involves providing the CBIR system with a sample image that it will then base its search upon; in terms of Information retrieval, the sample image is what formulates a search query. In particular, the reverse image search is characterized by a lack of search terms. This effectively removes the need for a user to guess at keywords or terms that may or may not return the correct result. A reverse image search also allows users to discover content that is related to a specific sample image, popularity of an image, and discover manipulated versions and derivative works.

Google's Search by Image is a feature that uses a reverse image search and allows users to search for related images just by uploading an image or image URL. Google accomplishes this by analyzing the submitted picture and constructing a mathematical model of it using advanced algorithms. It is then compared with billions of other images in Google's databases before returning matching and similar results. When available, Google also uses metadata about the image such as description

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