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 very useful in its ways. In particular, 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 a correct result. 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.

Reverse image search may be used to:

• Locate the source of an image.

• Find higher resolution versions.

• Discover webpages where the image appears.

• Find the content creator.

• Get information about an image.

Commonly used reverse image search algorithms include:

• Scale-invariant feature transform - to extract local features of an image

• Maximally stable extremal regions

• Vocabulary tree

LINKS

Google Image Search - https://images.google.com

Yandex - https://yandex.com

TinEye - https://tineye.com

Duplichecker - https://www.duplichecker.com/reverse-image-search.php

Pimeyes - https://pimeyes.com/en