Multimedia Databases

Lectures:

24 h

Recommended for

Graduate students.

Advanced course for undergraduate students.

The course was last given:

New course.

The course runs:

Every second year.

Goals

To present a unified view of multimedia databases and obtain familiarity with the structuring of a multimedia database management system (MMDBMS).

Prerequisites

Fundamentals of Modern Database System (equivalent to any of the following: TDDB38, TDDB48, TDDI60)

Elements of Discrete Math (includes some graph theory with trees)

Organization

Lectures and seminars

Optional individual project assignment (1 credit).

Contents

The course is sectioned into four parts. The first part is foundational, a quick review of the basic terminology of databases and a review of graph theory for modeling data. The second part focuses on how to represent logically the content of media data and to organize/manipulate this content using sophisticated indexing structures. The third part deals with storage and retrieval of media data. This section focuses on physical retrieval of media objects from different kinds of storage devices. The fourth part deals with the creation and delivery of multimedia presentations across the network in such a way that the available resources are utilized efficiently.

Literature

Required: V. S. Subrahmanian, Principles of Multimedia Database Systems, Morgan Kaufmann Publishers, Inc., 1997. ISBN 1-55860-466-9.

Required: Participants will be assigned articles to review.

Supplementary reference: Guojun Lu, Multimedia Database Management Systems, ARTECH HOUSE, INC., 1999. ISBN 0-89006-342-7.

Teachers

Ross Lee Graham

Examiner

Ross Lee Graham

Schedule

Spring 2002.

Examination

The final examination includes seminar presentations on one of the course topics and a written examination.

The optional project is usually a small-scale computer implementation or a paper (near but not to exceed 15 pages) on a chosen topic. The possible project and paper subjects are limited to professor approved topics.

Credit

4 (+1)

Comments

In recent years there has been a tremendous need for the ability to query and process vast quantities of data that are not always easy to describe with mere symbols. Some examples of such data include the following: Image, Video, Audio, Document, Handwritten.

These data types form a part of the array of media representations that arise naturally in a variety of applications. This course addresses the associated query and process problems.