Digital Video Processing
Course: Digital Video Processing
Code: 3ФЕИТ05004
ECTS points: 6 ECTS
Number of classes per week: 3+0+0+3
Lecturer: Asst. Prof. Dr. Tomislav Kartalov
Course Goals (acquired competencies): The goal of this course is to provide an understanding of the theory behind various video processing tasks as well as practical experience in accomplishing them. Upon the completion of this course students will have acquired in-depth knowledge to carry out research in video and image sequence-related areas and also an understanding of modern applications of video processing (e.g., video analysis, streaming, compression).
Course Syllabus: Basics of Analog and Digital Video, Spatio-Temporal Sampling, Sampling Structure Conversion. Video Formation Models. 2D Motion Modeling. Differential Methods, Matching Methods, Optimization Methods. Video Segmentation. Video Object Tracking. 3-D Motion and Structure Estimation. Noise Filtering. Advanced Standards Conversion. Restoration. Superresolution. Lossless Compression and Standards. Quantization and DPCM. Transform Coding and JPEG. Subband/Wavelet Coding and JPEG 2000. Frame-Based Compression Standards. Object-Based Coding and MPEG-4. Content-Based Video Indexing and MPEG-7. Digital Image and Video Watermarking.
Literature:
|
Required Literature |
||||
|
No. |
Author |
Title |
Publisher |
Year |
|
1 |
Yao Wang, Joern Ostermann, and Ya-Qin Zhang |
Video Processing and Communications |
Prentice Hall |
2002 |
|
Additional Literature |
||||
|
No. |
Author |
Title |
Publisher |
Year |
|
1 |
M. Tekalp |
Digital Video Processing |
Prentice Hall |
1995 |
|
2 |
J.W. Woods |
Multidimensional Signal, Image and Video Processing and Coding, 2nd edition |
Academic Press |
2012 |
|
3 |
Arch C. Luther, Andrew F. Inglis |
Video Engineering |
McGraw Hill |
1999 |
