This repository contains hands-on materials for the IF25-40305 (before: IF4021) course at the Informatics Department, Institut Teknologi Sumatera (ITERA).
| No. | Topic | Description | Notebook |
|---|---|---|---|
| 1 | Loading Media | Loading Audio, Image, & Video | 1_loading_media_audio.ipynb • 2_loading_media_image_vid.ipynb • 3_exercise_loading_media.ipynb |
| 2 | Audio Processing | Audio Signal Fundamentals | 4_audio_processing_week1.ipynb • 5_audio_processing_week2.ipynb • 6_audio_processing_week3.ipynb • 7_audio_processing_exercise.ipynb |
| 3 | Image Processing | Image Fundamentals | 8_image_processing_week1.ipynb • 9_image_processing_week2.ipynb • 10_image_processing_week3.ipynb |
| 4 | Video Processing | Video Fundamentals | 12_video_processing_week1.ipynb • 13_video_processing_week2.ipynb • 14_video_processing_week3.ipynb |
- Dilarang keras melakukan joki baik dalam tugas maupun Ujian.
- Jika anda meminta bantuan kawan anda mengenai tugas, harap cantumkan nama dan NIM dari mahasiswa tersebut.
- Jika ditemukan tindakan diatas maka akan mendapatkan sanksi sesuai hukum yang berlaku di ITERA.
- Diizinkan menggunakan AI seperti GPT, Gemini dan lain sebagainya namun cantumkan juga buktinya didalam notebook dengan menjelaskan kapan dilakukan chat tersebut.
DEFAULT: Hari Selasa di GK1.404b Jam 13.00 – 15.40
Upcoming Meeting
Hari/Tanggal: Selasa, 25 November 2025
Waktu: 13.00 - 15.40
Ruang: GKU1-404b
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.
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Audio Processing
Students are able to implement audio processing techniques using Python, including loading, analyzing, and transforming audio signals for feature extraction and simple applications. -
Image Processing & Facial Detection
Students are able to design and implement an image processing pipeline, applying preprocessing, filtering, and feature extraction, as well as developing facial detection systems using Python libraries. -
Video Processing & Landmarking
Students are able to develop video processing pipelines that incorporate pose estimation and hand landmark detection, and evaluate their performance in practical applications.
Untuk mendapatkan informasi lainnya bisa dibaca melalui website berikut: