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Multimedia and Imaging DatabasesSeptember 1994
Publisher:
  • Morgan Kaufmann Publishers Inc.
  • 340 Pine Street, Sixth Floor
  • San Francisco
  • CA
  • United States
ISBN:978-1-55860-312-7
Published:01 September 1994
Pages:
586
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Abstract

From the Publisher:

Affordable and mainstream manipulation of multimedia data types will lead to tremendous growth in imaging and multimedia data in general computing environments. Multimedia and imaging applications can now provide benefits to common business applications by integrating voice, sound, images, animation and digitized video. Ultimately, it will be possible to convert all information that is currently stored on paper, video and film into a digitized environment. This will allow users to organize, search and route multimedia objects over local and wide area networks in real time.

The authors' introductory level presentation of this new class of data types supplies the database technology required for effective manipulation and storage. Multimedia and database experts, Khoshafian and Baker aptly illustrate the ability of multimedia database systems to concurrently share, access, and query large collections of multimedia information. They introduce the elemental concepts of object and relational databases and then apply them to multimedia and imaging databases. Fundamental database topics discussed include querying, transaction support, recovery, security, and storage.

This book provides information essential to the incorporation of multimedia databases that will improve the quantity and quality of information manipulated by computer users in many areas including medicine, computer aided design, and information retrieval systems.

Cited By

  1. Bosque J, Robles O, Pastor L and Rodríguez A (2006). Parallel CBIR implementations with load balancing algorithms, Journal of Parallel and Distributed Computing, 66:8, (1062-1075), Online publication date: 1-Aug-2006.
  2. Sasaki H and Kiyoki Y A Prototype Implementation of Metadata Generation for Image Retrieval Proceedings of the 2004 Symposium on Applications and the Internet-Workshops (SAINT 2004 Workshops)
  3. ACM
    Kosala R and Blockeel H (2019). Web mining research, ACM SIGKDD Explorations Newsletter, 2:1, (1-15), Online publication date: 1-Jun-2000.
  4. ACM
    Bouet M, Khenchaf A and Briand H Shape representation for image retrieval Proceedings of the seventh ACM international conference on Multimedia (Part 2), (1-4)
  5. ACM
    Zaïane O, Han J, Li Z, Chee S and Chiang J MultiMediaMiner Proceedings of the 1998 ACM SIGMOD international conference on Management of data, (581-583)
  6. ACM
    Zaïane O, Han J, Li Z, Chee S and Chiang J (1998). MultiMediaMiner, ACM SIGMOD Record, 27:2, (581-583), Online publication date: 1-Jun-1998.
  7. ACM
    Bouet M and Djeraba C Powerful image organization in visual retrieval systems Proceedings of the sixth ACM international conference on Multimedia, (315-322)
  8. Zaïane O, Han J, Li Z and Hou J Mining multimedia data Proceedings of the 1998 conference of the Centre for Advanced Studies on Collaborative research
  9. ACM
    Perrizo W, Zhang Z and Krebsbach S A query processing method for data warehouses which contain multimedia Proceedings of the 1997 ACM symposium on Applied computing, (323-327)
  10. Specht G, Zimmermann S and Clausnitzer A Introducing Parallelism in Multimedia Database Systems Proceedings of the 2nd AIZU International Symposium on Parallel Algorithms / Architecture Synthesis
  11. Adjeroh D and Nwosu K (2019). Multimedia Database Management —Requirements and Issues, IEEE MultiMedia, 4:3, (24-33), Online publication date: 1-Jul-1997.
Contributors
  • Microelectronics Computer Technology Corporation

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