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Database Semantics - Semantic Issues in Multimedia Systems (Paperback, Softcover reprint of the original 1st ed. 1999)
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Database Semantics - Semantic Issues in Multimedia Systems (Paperback, Softcover reprint of the original 1st ed. 1999)
Series: IFIP Advances in Information and Communication Technology, 11
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Database Semantics: Semantic Issues in Multimedia Systems reflects
the state of the art of emerging research on the meaning of
multimedia information, as presented during IFIP's Eighth Data
Semantics Working Conference (DS-8), organized by its Working Group
2.6 on Databases, and held at Rotorua, New Zealand, in January
1999. DS-8 was planned as an active forum for researchers and
practitioners focusing on those issues that involve the semantics
of the information represented, stored, and manipulated by
multimedia systems. Depending on the topic and state of research,
issues may be covered either deeply theoretically or quite
practically, or even both. These proceedings contain twenty-one
papers carefully selected by an International Programme Committee
and organized in six thematic areas: * Video Data Modelling and
Use; * Image Databases; * Applications of Multimedia Systems; *
Multimedia Modeling in General; * Multimedia Information Retrieval;
* Semantics and Metadata.For almost every area, important topics
and issues include: * data modeling and query languages for media
such as audio, video, and images; * methodological aspects of
multimedia database design; * intelligent multimedia information
retrieval; * knowledge discovery and data mining in multimedia
information; * multimedia user interfaces. Three visionary keynote
addresses, by famous experts Ramesh Jain, Hermann Maurer and Masao
Sakauchi, set the stage for discussion and future directions for
the field. The collection of papers that resulted now offers a
glimpse of the excitement and enthusiasm from DS-8. Database
Semantics: Semantic Issues in Multimedia Systems is suitable as a
secondary text for a graduate-level course on database systems,
multimedia systems, or information retrieval systems and as a
reference for practitioners and researchers in industry.
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