Video Processing and Analysis

DESCRIPTION

Nowadays, digital videos are everywhere and revolutionize very many domains, notably:

1. Digital Media (video/movie) Content Production and Broadcasting,
2. Social Media Streaming and Analytics (g., YouTube),
3. Mobile computing and streaming
4. Videoconferencing
5. Medical/Biological/Dental Imaging and Diagnosis,
6. Big Visual Data Analytics,
7. Internet and Communications (media broadcasting, streaming).
8. Scientific Imaging of any sort, e.g., Physics.

Furthermore, Video Processing and Analysis  enables diverse applications, in unison with Computer Vision and Machine Learning:

1. Autonomous Systems (cars, drones, vessels) Perception,
2. Robotics Perception and Control,
3. Intelligent Human-Machine Interaction,
4. Anthropocentric (human-centered) Computing,
5. 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 CVML Web Module focuses on Video Processing and Analysis theory, its applications in the above-mentioned diverse domains and new challenges ahead.

This CVML Web Module focuses on Video Processing and Analysis and their applications. The first Lecture is an Introduction to Video Processing and Analysis.  Video Digitization provides the fundamental theory for video camera operation and digital video acquisition. Moving Image Perception provides guidelines for image display to maximize user experience. Video Processing and Standards Conversion allows video filtering and format conversion. Τransform video compression forms the theoretical and algorithmic basis of all current video compression standards, notably MPEG2/4, HEVC, H.264/H.265.

Video Streaming is an essential tool for Mobile and Internet Communications (video broadcasting/streaming, videoconferencing). Motion Estimation is a very important Video Analysis task.  2D Visual Object Tracking and related topics (Joint Object Detection and Tracking, Multiview Object Detection and Tracking) are a must for Autonomous Systems (cars, drones, vessels) Perception, e.g., for detecting and tracking pedestrians. Video Indexing and Retrieval and Video Description are indispensable in Video Archives (e.g., Mediatheques) and Social Media search, storage and analytics (e.g., in YouTube).

LECTURE LIST

1. 2D Visual Object Tracking
2. Introduction to Video Processing and Analysis
3. Joint Object Detection and Tracking
4. Motion Estimation
5. Moving Image Perception
6. Multiview Object Detection and Tracking
7. Τransform video compression
8. Video Description
9. Video Digitization
10. Video Indexing and Retrieval
11. Video Processing and Standards Conversion
12. Video Streaming

LECTURE SLIDES

https://aiia.csd.auth.gr/video-processing-and-analysis-lecture-slides/