This document provides an overview of an introduction to multimedia technology course. The course will cover representation of graphics, images, audio and video; compression algorithms and standards like JPEG, H.261 and MPEG; digital rights; and state-of-the-art multimedia technologies like VoIP and video conferencing. It will also discuss multimedia processing, coding, systems, tools, and applications. Key topics include compression techniques that remove data redundancy and leverage human perception, as well as lossless and lossy compression methods.

1. Introduction to
Multimedia Technology
Course
Ghifar

2. Overview
 Multimedia course in Informatics
Engineering UNPAR
 Introduction to Multimedia
 Compression: A handy invention

4. Multimedia Tech. Course

5.  Graphics/Image, Audio, and Video
Representation
 Compression Algorithms and Techniques
 Compression Standards
JPEG, H.261, MPEG, etc
 Digital Rights
 State-of-The-Art Multimedia Tech
 VoIP
 Video conference

7. 
PC Vendor
consumer entertainment vendor
Computer Science (CS) student


8.  modalities
text audio images drawings animation video
 Video teleconferencing
 Distributed lecturers
 Tele-medicine
 Co-operative work
 Searching
 Augmented reality

9. audio cues
searchable features
editable &
distributed
 Video understanding
voice & speech Recognition

10.  Multimedia processing & coding
 Multimedia system supports & networking
 Multimedia tools, end-systems & applications
 Multi-modal interaction and integration

11. 1. Camera-based object tracking technology
2. 3D motion capture
3. Multiple views
4. 3D capture technology

12. 5. Specific multimedia applications
6. Digital fashion
7. Electronic Housecall system
8. Augmented Interaction applications

15. 




16. 
ABCCCCCCCCDEFGGGG

ABC!8DEFG!4

18.  dictionary



19. 


20. 
1. Data Redundancy

2. Human Perception
 not sensitive
 error tolerance

21. 1. Lossless Compression
compression result
decompressed
2. Lossy Compression
compression result

23.  encoding information
fewer bits than the original
 Reduce the consumption
 compression
techniques
 Data Redundancy
Human Perception
 Lossless Lossy