A Multimedia Query Specification Language

Hirzalla, N.; Karmouch, Ahmed

doi:10.1007/978-1-4613-0463-0_6

Cited by 4 publications

(2 citation statements)

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“…Therefore, a growing number of multimedia applications require a retrieval facility that offers detailed views of multimedia document contents. In [4], we proposed a multimedia query specification language that could be used by multimedia databases. This language permits retrieval of potentially relevant multisegments (segments or portions of multimedia documents) from a multimedia database.…”

Section: Multimedia Document Retrieval and Browsingmentioning

confidence: 99%

“…It has been widely recognized that the existing commercial database management systems (DBMSs) are not well suited for efficient storage and manipulation of multimedia information. Moreover, they do not provide all the features and functions required for the multimedia applications [3][4][5][6][7][8][9][10][11][12][13][14][15]. Relational DBMSs are very Correspondence to: A. Karmouch mature technology, however, we hear about the inadequacies of this technology to manage what are often termed as "complex" data.…”

Section: Introductionmentioning

confidence: 99%

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A data model and a query languagefor multimedia documents databases

Hirzalla

Karmouch

1999

Multimedia Systems

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A multimedia application involves information that may be in a form of video, images, audio, text and graphics, need to be stored, retrieved and manipulated in large databases. In this paper, we propose an object-oriented database schema that supports multimedia documents and their temporal, spatial and logical structures. We present a document example and show how the schema can adress all the structures described. We also present a multimedia query specification language that can be used to describe a multimedia content portion to be retrieved from the database. The language provides means by which the user can specify the information on the media as well as the temoral and spatial relationships among these media.

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Section: Multimedia Document Retrieval and Browsingmentioning

confidence: 99%