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Images finding images: LTU engine is the foundation for visual search: image matching, similarity search, and color search.

Visual search is using one image to find other images. Visual search based upon the content of an image, rather than based on textual information.

Two key technologies of visual search are image description and image search.

Image description (Indexation): The first step toward making an image searchable is to create a descriptor of the image content. LTU engine computes a visual signature for every image that describe its visual content in terms of color, shape, texture and many higher order visual features. These descriptors are also called image DNAs.

Image search: Image search is the comparison of one image signature with another, or with millions of other signatures. LTU's proprietary architecture includes a special comparison technology by which an image signature can be compared at extremely high speed with other image signatures.

The core data for LTU engine is the signature, also called the image DNA, not the image itself. Image signatures are presented in the “Create Application” section of the “Administrative Interface” guide below.


These principal functionalities are packaged in LTU engine, which provides the components necessary for creating and managing visual search applications, including JSON API and a comprehensive Administrative Interface.