Video Processing and Standards Conversion Lecture
Nowadays, digital videos are everywhere and revolutionize very many domains, notably:
-Digital Media (video/movie) Content Production and Broadcasting,
-Social Media Streaming and Analytics (g., YouTube),
-Mobile computing and streaming
-Videoconferencing
-Medical/Biological/Dental Imaging and Diagnosis,
-Big Visual Data Analytics,
-Internet and Communications (media broadcasting, streaming).
-Scientific Imaging of any sort, e.g., Physics.
Furthermore, Video Processing and Analysis enables diverse applications, in unison with Computer Vision and Machine Learning:
-Autonomous Systems (cars, drones, vessels) Perception,
-Robotics Perception and Control,
-Intelligent Human-Machine Interaction,
-Anthropocentric (human-centered) Computing,
-Smart Cities/Buildings and Assisted living.
Visual Computing, encompassing Computer Vision and Video Processing and Analysis, coupled with AI (notably Machine Learning and Deep Neural Network) advances hit the news almost every day.

This lecture Video Processing and Standards Conversion that has many applications in video denoising, video interpolation and de-interlacing. It covers the following topics in detail: Continouous and discrete multidimensional signals. Multidimensional FIR and IIR Systems. Multidimensional signal transforms (Z transform, DFT) and convolution support. Various types of temporal, spatial, spatiotemporal and adaptive video denoising. Motion-compensated video filtering. Video interpolation, format conversion and de-interlacing.