Acquisition of basic knowledge in visual perception of video signals and digital processing of video signals. Introduction to the techniques of motion modeling in a video signal and the method of compression and video indexing.

To apply acquired knowledge in further educational process as well as in the future profession. Specifically, introduction to the basic features of video signals, algorithms for video signal processing, motion modeling and video perception. Additionally, the outcome is the knowledge of video acquisition methods, video compression and format conversion of the video signal.

Formation and representation of digital video signal. Visual perception of the video signal and modeling the video signal quality. Frequency analysis of the video signal and spatial-time video selection. Modeling and estimation of motion in the video signal and video segmentation based on the motion of spatial texture. Fundamentals of filtering and interpolation of the video signal. Extracting typical features/properties and arranging video animation based on that. 3D video modeling and multiview video sequence processing. Video compression and coding for storage, transfer in multimedia systems. Video indexing, search and return. Video signal protection.

Lectures and Computer Practice. Consultations. Computer Practice is based on mastering and understanding the basic approach to video signal processing using MATLAB and C programming language. For video signal processing in C programming language, it is necessary to master C libraries for video handling. Final grade is formed based on the lecture and practice attendance, success at the semester obligations, project work and oral examination related to the project work.