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Multimedia Storage and Retrieval: An Algorithmic Approach

Multimedia Storage and Retrieval: An Algorithmic Approach

Jan Korst , Verus Pronk

ISBN: 978-0-470-09103-6

Jan 2005

274 pages

Out of stock

$150.00

Description

The success of multimedia information systems to adequately meet the needs of accessing and presenting audio/video information from a large multimedia server depends heavily on the proper use of storage and retrieval algorithms suitable for this task.

Multimedia Storage and Retrieval describes various algorithms from simple to sophisticated: from single user to multiple users, from constant-bit-rate to variable-bit-rate streams, and from single disk to multiple disks. This book emphasizes storage and retrieval of video data using magnetic disk systems and its elementary, mathematical approach concentrates on the fundamental algorithms.

  • Provides those new to the subject with the basic principles of the design and analysis of video-on-demand systems and guides the reader towards a thorough understanding of the field.
  • Comprehensively covers disk scheduling algorithms, including round robin, double and triple buffering, grouped sweeping, and dual sweep.
  • Extensively treats storage strategies, including contiguous and segmented storage, track pairing, striping, and random redundant storage.
  • Concludes with further optimizations in the area of video transmission, covering bit-rate smoothing and near video-on-demand strategies.
Senior undergraduate and graduate students on computer science and electrical engineering courses will all find this book appealing. Researchers and those in industry will also find it an invaluable reference.
Preface.

PART I: PRELIMINARIES.

1. Introduction.

2. Modeling Server and Streams.

PART II: DISK SCHEDULING.

3. Serving a Single CBR Stream.

4. Serving Multiple CBR Streams.

5. Serving Multiple VBR Streams.

PART III: STORAGE ON A SINGLE DISK.

6. File Allocation Strategies.

7. Using a Multi-Zone Disk.

PART IV: STORAGE ON MULTIPLE DISKS.

8. Striping.

9. Random Redundant Storage.

PART V: DATA TRANSMISSION.

10. Bit-Rate Smoothing Algorithms.

11. Near Video-on-Demand Strategies.

Bibliography.

Author Index.

Subject Index.

"This book will appeal to computer science and electrical engineering students interested in storage for multimedia systems." (CHOICE, June 2005)