A Query Language for Similarity-Based Retrieval of Multimedia Data | Zendy

Giuseppe Amato | Zendy; Gianni Mainetto | Zendy; Pasquale Savino | Zendy

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A Query Language for Similarity-Based Retrieval of Multimedia Data

Author(s) -

Giuseppe Amato,

Gianni Mainetto,

Pasquale Savino

Publication year - 1997

Publication title -

electronic workshops in computing

Language(s) - English

Resource type - Conference proceedings

ISSN - 1477-9358

DOI - 10.14236/ewic/adbis1997.2

Subject(s) - computer science , query language , multimedia database , object query language , query expansion , rdf query language , information retrieval , query optimization , query by example , sargable , object (grammar) , similarity (geometry) , component (thermodynamics) , web query classification , set (abstract data type) , web search query , view , search engine , artificial intelligence , database design , programming language , image (mathematics) , physics , thermodynamics

This paper presents the main features of a Multimedia Query Language tailored for content-based similarity retrieval of multimedia objects. The Query Language processor is a component of a multimedia database system that adopts a model that permits both a structural representation of raw multimedia data and an automatically computed description of the multimedia data content. The Query Language is an extension of a traditional object-oriented query language. It allows to express restrictions on features, concepts and structural aspects of the multimedia database objects. In addition, the language supports the formulation of queries with imprecise conditions. The outcome of a query execution is an ordered set of pairs, each one consisting of an object and a measure of the similarity of the object with the criteria specified in the query.

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