Structured query language extension supports content-based image retrieval

April 11, 2008 Structured query language extension supports content-based image retrieval Douglas Page -------------------------------------------------------------------------------- Schemes proposed to support growing interest in content-based image retrieval have generally failed to incorporate the use of structured query language to support similarity queries. Recent research from Brazil provides this ability. Similarity queries scan databases for objects similar to the reference object. To advance the efficiency of similarity searches, several index structures have been proposed, including M-trees, slim-trees, and Dbm-trees. The Brazilian work, however, is among the first to propose extending structured query language (SQL) to support these queries.

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