Description

Theory
2

Laboratory
2

Instructors

Paula Viana

Contents

1. Introdction to audiovisual content processing and transmission
- Basic concetps
- Multimedia Signal Representation
- Basic operations on images

2. Coding techniques
- Entropy coding
- Transform coding
- Compression
- International standars: JPEG, MPEG, H264 / AVC, H265 / HEVC;

3. Machine learning for vision
- Learning approaches
- Data and learning pipeline
- frameworks and models

4. Multimedia transmission
- Multiplexing and Transporting Multimedia Signals
- Digital Television and Radio Broadcast: DVB; DAB;
- Protocols for Multimedia Communications: RTP, RTSP, MPEG-DASH, HLS

5 Languages and Frameworks for multimedia
- Python
- Scikit-image
- Jupyter Notebook
- Pytorch

Learning Outcomes

Students should develop skills in in the area of multimedia communication systems, namely on multimedia digital signal processing, system architectures, protocols and applications. At the end of the course, students should
have the following general competences:
OB1: Understabd the concepts of multimedia acquisition and digital representation
OB2: Understand the techniques for multimedia signal processing
OB3: Understand and be able to analyse the impact of some operations on audivisual content
OB4 Know the protocols use to convey multimedia content
OB5 Specify and develop modules of a multimedia communication system