Course Name : Multimedia Technologies Course Code/Number : COIT 466
Credit Units : 4
Class Contact Hours per week: : 3 Lab. Contact Hours per week: : 2
Instructor Information
Mrs. Sawsan A. Abu-Taleb Office location: R02 ,Room #3
Office hours: Sat.,Sun.,and Mon :11.00-12.00 AM Website: http://sabutaleb.kau.edu.sa/
E-mail: [email protected] ,[email protected]
Course Information
Course website address : http://sabutaleb.kau.edu.sa/Pages-Multi.aspx Course prerequisites and requirements : Data Structures(COCS 304 ) Requirements:
Attending all classes on time schedule.
Attending all lab works & provide each lab reports.
Reading the chapters requested from text book.
Reading the books & articles suggested in the class.
Description of the course (what, why, philosophy, teaching methodology) This course teaches the basics of multimedia system components. It also covers the techniques and tools to design and implement multimedia presentations.
Teaching methodology : Lecture and discussion, Lab activities, Co-operative Learning, Mini Project, Presentation, Independent Study
Course Objectives
o Know the theoretical foundations of multimedia presentations.
o Understand the relevance and underlying infrastructure of the multimedia systems.
o Understand core multimedia technologies and standards (Digital Audio, Graphics, Video, VR, data transmission/compression)
o Able to develop multimedia presentation
o Be aware of factors involved in multimedia systems performance, integration and evaluation.
Course Outlines:
o Introduction to multimedia.
o Multimedia components.
o Transferring parity media into digital system.
o Presentation principals using multimedia.
o Text and chart building.
o The use of drawings and building presentation.
o Merging sound with picture and text in one frame.
o Building motions.
o Multimedia applications.
o Theoretical foundation of different multimedia techniques: Multimedia Data Compression.
Learning Resources
Textbook:
R. Steinmetz and K. Nahrstedt, Multimedia Fundamentals, Volume 1: Media Coding and Content Processing, 2nd Ed., Prentice Hall, 2002, ISBN 0130313998.
Other Reference:
Z.-N. Li and M.S. Drew, Fundamentals of Multimedia, Prentice-Hall, 2004, ISBN 9780130618726.
Course Requirements and Grading
The student performance in this course will be evaluated in three activities including 3 exams, one semester exam & two period exam (First exam and second exam),
presentation in small project. Each part will evaluate as following:
First Exam 20%
Second Exam 20%
Lab Assignments & Exams 20%
Final Exam 40%
Overall Grading Guidelines
The letter grading system (ABCDF/+) will be used in this course. The following interpretation of this grading scale is used:
GRADE SCORE RANGE (100 Points)
A+ 95 - 100
A 90 – 94
B+ 85 – 89
B 80 – 84
C+ 75 – 79
C 70 – 74
D+ 65 – 69
D 60 – 64
F < 60
Detailed Course Schedule
Time table for distributing theoretical course contents
Week Theoretical course contents Remarks
1 Introduction to Multimedia: Components of Multimedia, Multimedia and Hypermedia, History of Multimedia
2 Multimedia Authoring and Tools : Multimedia Authoring , Multimedia Authoring Metaphors , Multimedia Production
3
Multimedia Authoring and Tools : Multimedia Presentation, Automatic Authoring.
Graphics and Image Data Representations: Graphics/Image Data Types
4 Graphics and Image Data Representations: 1-Bit Images, 8-Bit Gray-Level Images , Image Data Types
5
Graphics and Image Data Representations: 24-Bit Color Images, 8-Bit Color Images, Color Lookup Tables (LUTs), Popular File Formats
6
Fundamental Concepts in Video : Types of Video Signals, Component Video, Composite Video, S-Video, Analog Video, Digital Video
Exam 1
7 Basics of Digital Audio : Digitization of Sound, What Is Sound?
Digitization, Nyquist Theorem 8
Lossless Compression Algorithms : Introduction, Basics of Information Theory, Run-Length Coding, Variable-Length Coding (VLC) , Shannon–Fano Algorithm
9 Lossless Compression Algorithms : Huffman Coding, Adaptive Huffman Coding
10 Lossless Compression Algorithms : Dictionary-Based Coding, Arithmetic Coding, Lossless Image Compression
11
Lossless Compression Algorithms : Differential Coding of Images, Lossless JPEG.
Lossy Compression Algorithms : Introduction, Distortion Measures
12 Lossy Compression Algorithms : The Rate-Distortion Theory,
Quantization, Uniform Scalar Quantization Exam 2
13 Non uniform Scalar Quantization, Vector Quantization, Transform Coding, Discrete Cosine Transform (DCT)
14 Image Compression Standards : A Glance at the JPEG Bitstream 265, The JPEG2000 Standard 265
15 Image Compression Standards : Main Steps of JPEG2000 Image Compression
Final exam.