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CIT891Sciences3 Unitsintermediate

Advanced Multimedia Technology

This course provides an in-depth exploration of advanced multimedia technologies, covering the creation, storage, compression, retrieval, and management of multimedia data. It delves into multimedia integrated services, including voice, graphics, images, video, and animation. Students will learn about multimedia data representation, compression techniques, image processing, and video coding standards. The course aims to equip students with the skills to work in multimedia service-oriented organizations.

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48h
Study Time
13
Weeks
4h
Per Week
intermediate
Math Level
Course Keywords
MultimediaCompressionImage ProcessingVideo CodingStandards

Course Overview

Everything you need to know about this course

Course Difficulty

Intermediate Level
Builds on foundational knowledge
65%
intermediate
📊
Math Level
Moderate Math
🔬
Learning Type
Hands-on Practice

Course Topics

Key areas covered in this course

1

Multimedia Systems

2

Multimedia Elements

3

Signal Representation

4

Image Compression

5

Video Compression

6

Image Enhancement

7

Morphological Operators

8

Object Detection

9

JPEG Standard

10

MPEG Standard

11

H.263 Standard

Total Topics11 topics

Ready to Start

No specific requirements needed

This course is designed to be accessible to all students. You can start immediately without any prior knowledge or specific preparation.

Assessment Methods

How your progress will be evaluated (3 methods)

assignments

Comprehensive evaluation of course material understanding

Written Assessment

tutor-marked assessments

Comprehensive evaluation of course material understanding

Written Assessment

final examination

Comprehensive evaluation of course material understanding

Written Assessment

Career Opportunities

Explore the career paths this course opens up for you

Multimedia Developer

Apply your skills in this growing field

Video Editor

Apply your skills in this growing field

Image Processing Specialist

Apply your skills in this growing field

Compression Engineer

Apply your skills in this growing field

Broadcast Engineer

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

EntertainmentBroadcastingInformation TechnologyTelecommunicationsSecurity Systems

Study Schedule Beta

A structured 13-week journey through the course content

Week
1

Module 1: Introduction

2h

Unit 1: Multimedia Systems and Requirements

2 study hours
  • Read the introduction to multimedia systems and requirements.
  • Understand the meaning of multimedia technology.
  • Describe the components of multimedia systems.
  • Explain desirable features for multimedia systems.
Week
2

Module 1: Introduction

2h

Unit 2: Elements of Multimedia

2 study hours
  • Describe the elements of multimedia: text, graphics, audio, video, and animation.
  • Explain the characteristics of unformatted text, formatted text, and hypertext.
  • Describe digital video formats and their applications.
Week
3

Module 1: Introduction

4h

Unit 3: Multimedia Signal Representation and Processing

4 study hours
  • Explain the principles of digitization.
  • Understand sampling rate and the Nyquist Theorem.
  • Describe encoders and decoders for multimedia applications.
  • Explain color representations and color models (RGB, HSV, YIQ).
Week
4

Module 1: Introduction

2h

Unit 3: Multimedia Signal Representation and Processing

2 study hours
  • Continue studying Multimedia Signal Representation and Processing.
  • Complete self-assessment exercises on digitization and color representation.
  • Review the applications of digitization in multimedia systems.
Week
5

Module 2:

2h

Unit 1: Over view of Current Techniques in Image/Video Compression

2 study hours
  • Discuss multimedia data compression and its importance.
  • Explain how a compression system works.
  • Describe perceptual redundancy and its role in compression.
  • Provide advantages and disadvantages of data compression.
Week
6

Module 2:

2h

Unit 2: Image Processing and Human Visual System

2 study hours
  • Explain the meaning of image processing.
  • Identify different types of images (binary, grayscale, RGB).
  • Explain the human visual system and its relevance to image processing.
  • Compare the human visual system with computer screens.
Week
7

Module 2:

4h

Unit 3: 2D Data Transform with DTFT, DFT, DCT

4 study hours
  • Explain how signals are transformed from one domain to another.
  • Describe different classes of signals.
  • Explain the meaning and types of transforms (DTFT, DFT, DCT).
  • Discuss applications of Fourier transforms in multimedia processing.
Week
8

Module 2:

2h

Unit 3: 2D Data Transform with DTFT, DFT, DCT

2 study hours
  • Continue studying 2D Data Transform with DTFT, DFT, DCT.
  • Practice problems related to Fourier transforms.
  • Review the applications of transforms in image processing.
Week
9

Module 3:

2h

Unit 1: Image Perception, Image Enhancement with Histogram Analysis

2 study hours
  • Explain the meaning of histogram.
  • Describe how histograms are used for image enhancement.
  • Identify sources of noise in images.
  • Describe how filters are used for noise removal.
Week
10

Module 3:

4h

Unit 2: Morphological Operators

4 study hours
  • Explain the meaning of morphological operators.
  • Describe applications of morphological operations in image processing.
  • Understand translation, reflection, dilation, and erosion.
  • Explore relations between erosion and dilation.
Week
11

Module 3:

2h

Unit 2: Morphological Operators

2 study hours
  • Continue studying Morphological Operators.
  • Practice applying morphological operations to images.
  • Review the use of opening and closing operations.
Week
12

Module 3:

2h

Unit 3: Image Restoration, Feature Detection and Pattern Matching

2 study hours
  • Describe image degradation model.
  • Explain the concept of noises in images and their removal.
  • Explain the principles of object detection.
  • Describe the technique of object detection.
Week
13

Module 4:

2h

Unit 1: Image Coding with DCT and Wavelet Technologies

2 study hours
  • Explain image coding with DCT.
  • Discuss the application of wavelet technology in image coding.
  • Review multimedia systems and their components.
  • Complete self-assessment exercises on DCT and wavelet technologies.

This study schedule is in beta and may not be accurate. Please use it as a guide and consult the course outline for the most accurate information.

Course PDF Material

Read the complete course material as provided by NOUN.

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Study Tips & Exam Preparation

Expert tips to help you succeed in this course

1

Review all module introductions to understand key concepts and objectives.

2

Practice solving problems related to image and video compression techniques.

3

Create concept maps linking modules 2-4 to understand the relationships between compression, image processing, and video coding.

4

Focus on understanding the differences between JPEG, MPEG, and H.263 standards, their applications, and their underlying algorithms.

5

Use MATLAB to implement image enhancement techniques and analyze their effects on image quality.

6

Allocate equal time to studying each module, focusing on areas of personal weakness.

7

Review all Tutor Marked Assignments (TMAs) and their solutions to identify common mistakes and areas for improvement.

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