Selected topics in Video Processing

Theory and applications of motion estimation Video Coding Video Segmentation Object detection and tracking in video Multi-view video processing 3D video Video Enhancement Video quality evaluation Content-based Video Retrieval

Expected learning outcomes Having completed the course, the student should have gained knowledge, skills and general competences related to selected topics in video processing. Knowledge: The student is in the forefront of knowledge of core issues from different sub-areas of video processing research including video segmentation, video coding, video analyses, multiview video, 3D video, video enhancement and video quality evaluation, He would have achieved in-depth knowledge of one of these core areas through independent study, He would have the ability to discuss (i.e. to describe, analyze, reason about and implement) how digital video may be represented, processed, encoded and transmitted. Skills: Make appropriate use of mathematical techniques in video processing and analyses. Demonstrate the use of by implementing techniques such as adaptive algorithms, scalable approaches and real-time techniques to solve problems in video processing applications. ' General competences: Be able to review scientific publications from interdisciplinary areas related to video analyses, 3D and multi-view video, target tracking, activity recognition, and propose new approaches to analyze the video data. The candidate has the ability of appreciation of the impact of (i.e. to describe, analyze, reason about) recently published research in video processing.

-Lectures -E-learning -Project work -Meeting(s)/Seminar(s) Compulsory requirements: None