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In query by example the element used to search is a multimedia content (image, audio, video).
This is analogous to the Query By Example method of performing database queries.
It is used in CBIR to retrieve pictures through a "query by example" using the similarity between local features.
Query by Example (QBE) is a database query language for relational databases.
Query By Example (QBE)
Query by example is a query technique that involves providing the CBIR system with an example image that it will then base its search upon.
Image search: Although usually it's used simple metadata search, increasingly is being used indexing methods for making the results of users queries more accurate using query by example.
One is query by example, known as QBE; the other is structured query language support, known as SQL.
Meredith Patterson's current startup, Osogato, aims to commercialize Patterson's Support Vector Machine-based "query by example" research.
Query by example: The interaction consists in submitting a piece of information (e.g., a video, an image, or a piece of audio) at the purpose of finding similar multimedia items.
In parallel with the development of SQL IBM also developed Query by Example (QBE), the first graphical query language.
In 1976 IBM released Query by Example for the VM platform where the table-oriented front-end produced a linear-syntax language that drove transactions to its relational database.
Microsoft Query by Example (QBE) is a visual method of creating database queries using examples based on a text string, the name of a document or a list of documents.
Typical sublanguages associated with modern RDBMS's are QBE (Query by Example) and SQL (Structured Query Language).
It is derived from Moshé M. Zloof's original Query by Example (QBE) implemented in the mid-1970s at IBM's Research Centre in Yorktown, New York.
Currently, QBE is supported in several relational database front ends, notably Microsoft Access, which implements "Visual Query by Example", as well as Microsoft SQL Server Enterprise Manager.
Typically, this type of search engines usually use techniques of query by example or Image query by example, which use the content, shape, texture and color of the image to compare them in a database and then deliver the approximate results from the query.