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 for Tools
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
