Martin Manullang

Computer Vision Researcher & Tech-savvy

Sistem / Teknologi Multimedia Multimedia Technology (IF4021) | Martin Manullang

Multimedia Technology Course

Multimedia Technology (IF4021)

Course Schedule:
Thursday, 7.00 - 9.00 WIB
Toleransi keterlambatan 15 menit (khusus mata kuliah ini)

Important links:

About The Course

Description

This course covers multimedia data concepts, including text, audio, image, and video data, and their integration into a unified multimedia system. It is designed for students seeking to deepen their scientific understanding of multimedia. In addition to exploring multimedia concepts theoretically, the course includes practical aspects, such as using tools to manipulate multimedia data and working with existing integrated multimedia systems.

Learning Outcomes

  1. Students are able to understand the basic concepts of multimedia
  2. Students are able to apply basic concepts of multimedia data to common problems
  3. Students are able to implement multimedia concepts using a program
  4. Students are able to design integrated multimedia systems

Grade Distribution and Scale

A: >= 75 | AB: 70 - 74 | B: 65 - 69 | BC: 60 - 64 | C: 50 - 59 | D: 40 - 49 | E: < 40

Rounding: 0 decimal, 0.5 and above rounded up

  • Class Participation: 15%
  • Hands-on Assignment: 40%
  • Midterm Exam: 10%
  • Final Project: 35%

Class Regulation

Please refers to this: kontrak kuliah

References

- Fundamentals of Multimedia, Third Edition, Li et al., Springer, 2021
- The Python Audio Cookbook: Recipes for Audio Scripting with Python, Alexandros Drymonitis, Focal Press, 2023
- Introduction to Digital Music with Python Programming: Learning Music with Code, Michael S. Horn, et.al., Taylor&Francis Group, 2022
- Li ZN, Drew MS, Liu J. Fundamentals of multimedia. Upper Saddle River (NJ):: Pearson Prentice Hall; 2004.
- Havaldar P, Medioni G. Multimedia systems: algorithms, standards, and industry practices. Course Technology Press; 2009.

Schedule and Materials

Slides and Lecturing Handouts

Week Topics Assignments / Grading Resources
1 Course Logistics
Introduction to Multimedia and Concepts
  IDE Setup
2,3,4 Audio Processing   1. What is fourier transform
2. What is sound?
5,6,7 Image Processing    
8 Mid Term Week    
11,12,13 Video Processing   Youtube 1
Youtube 2
14 Case Study: Measuring Respiration Signal from Video    
15,16 Final Project Presentation: Create your own tiktok filter on Python    

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