Course details
Image and Video Compression
KOVe Acad. year 2013/2014 Winter semester 5 credits
Important methods for image and video coding and compression - IVC.
Guarantor
Language of instruction
Completion
Time span
- 26 hrs lectures
- 26 hrs pc labs
Department
Subject specific learning outcomes and competences
Basic knowledge and abilities in image and video compression.
Basic knowledge and abilities in image and video compression.
Learning objectives
To give basic knowledge and abilities in image and video compression.
Prerequisite knowledge and skills
The mathematics and binary number system.
Study literature
-
- Lecture notes in pdf.
- David Salomon: Data Compression
Fundamental literature
-
- David Salomon: Data Compression, The Complete Reference, Second Edition, Springer 2000, ISBN 0-387-95045-1, Third Edition, Fourth Edition
Syllabus of lectures
- Introduction to IVC
- Quantization
- Predictive coding
- Transform coding
- Discrete cosine transform
- JPEG
- Frame interpolation and motion estimation
- MPEG
- Wavelet transform
- JPEG 2000
- Wavelet scalar quantization, fingerprint compression
- 3D compression
- New trends
Progress assessment
Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.
Teaching methods and criteria
The course uses teaching methods in form of Lecture - 2 teaching hours per week, Computer exercise - 2 teaching hours per week.
Controlled instruction
Projects implementations 30 points, final examination70 points.