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Content-based image retrieval (CBIR), also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey for a recent scientific overview of the CBIR field). Content-based image retrieval is opposed to traditional concept-based approaches (see concept-based image indexing).
"Content-based" means that the search analyzes the contents of the image rather than the metadata such as keywords, t...
This is a list of publicly available Content-based image retrieval (CBIR) engines, these image search engines look at the content (pixels) of their images in order to return results that match a particular query.
Commercial CBIR search engines
{| class="wikitable sortable"
|-
! Name
! Description
! External Image Query
! Metadata Query
! Index Size (Estimate, Millions of Images)
! Organization Type
! License (Open/Closed)
|-
| [http://www.picalike.com/products/similarity-search.php Picalike]
| CBIR engine for Mobile and eCommerce
| No
| No (additional filters can be added)
|
| Private Co...
Clonespy http://www.clonespy.com
I find this very helpful and more useful than doublekiller. A particularly nice feature is the "Pools" feature, where you can compare one group of directories with another group of directories while ignoring duplicates within the groups.
For example, my partner...
