Multimedia video coding and architectures
5LSE0 (2021)
Groups
Automotive, Surveillance, Healthcare, Animal care
Teachers
Egor Bondarev, Herman Groot
Goal
Learn the power of signal transformations
- For video compression, like as in transform coding
- For video analysis, like as in the Gabor wavelet transform
- For combining them with Deep Learning
Exploit the concept of "condensing information"
- This is useful for coding and compression
- Also applicable to video analysis: what is the key informative feature
- Use specific transformations to condens the information, like the PCA
Course details
This course is divided in two parts:
- Video compressing using Discrete Cosine Transformation: learn the concept of entropy as information measure both for compression and video analysis
- Analysis techniques, e.g. wavelet transform, for finding features: Expand the tool set of computer vision and for Deep Learning
Required preknowledge:
- Stochastic signal processing
Lecturer(s):
- prof. Peter de With
- dr. Yue Sun
Schedule and locations:
Slides
- Module 01A - Introduction & Motivation for Compression
- Module 01B - Probability and Information
- Module 02A - Scalar Quantization
- Module 02B - Transformation Theory
- Module 03A - Adaptive Quantization and JPEG 2021
- Module 03B - MPEG 1-2 standard 2021
- Module 03C - MPEG 4 AVC standard 2021
- Module 04 - Wavelets and JPEG2000
- Module 05A - Gabor wavelets
- Module 05B - Gabor wavelets
- Module 06 - PCA
- Module 07 - HMM
- Module 08A - Object Detection