After successful completion of the course, students are able to identify key video processing techniques such as filtering, optical flow, and stereo matching, to describe how they work, and to assess their relevance / applicability to a given problem. In addition, students can evaluate selected video processing algorithms in consideration of the state-of-the-art and compare them with reference results from relevant benchmarks.
This course deals with selected problems of video processing, incuding the basics of video recording and imaging geometry, the estimation of movement (optical flow), filtering techniques, methods of video stabilization and the field of application of 3D video/film production and stereoscopic display.
In an introductory part of the course, we review principles of video recording, image generation and project geometry, whereby important basic terms of image processing are briefly recapitulated in order to support students with only little previous knowledge in the field. In the main part of the lecture, essential video processing techniques such as optical flow methods, filtering techniques (e.g. bilateral filters, guided image filters) with associated possible applications (e.g. cost volume filtering), as well as methods of video stabilization are presented. Furthermore, benchmarks, which are made available to the research community for evaluating algorithms are explained and demonstrated.
The lecture slides will be made available online (via TUWEL) after each lecture unit. The lecture is accompanied by exercises in which selected provblems are implemented in small groups.
The lecture slides will be provided on TUWEL and are supplemented by suitable video material, demos, and weblinks, in order to illustrate the lecture content and current research questions.
The prelecture meeting takes place on October 9th, 2019, at 11 am in the lecture hall FAV1 (Favoritenstraße 9-11, ground floor). Please note that in order to successfully complete the excercise part of the lecture, it is mandatory to attend the prelecture meeting. The dates of further lectures are going to be as follows: Oct 23rd, October 30th, Nov 6th, Nov 13th, Nov 20th, Nov 27th, Dec 4th (Dec 11th and Dec 18th scheduled as substitution dates).
This course represents 1.5 ECTS (= 38 hours). An estimate of 14 hours of these will be used for the actual lecture and the remaining 24 hours for exam preparation.
=== Changed Mode of Examination ===
Dear students,due to the current situation the upcoming exam on 24.06.2020 will be held online via Zoom and Tuwel.To attend this exam the following requirements must be fulfilled:- You have a PC/notebook with camera and microphone.- Your internet connection is typically stable.- You have a separate room you use alone during the exam.- You can ensure that there will be no interruptions during the exam (phone, visits, etc.)If one of these requirements cannot be fulfilled, please attend the exam at a later time.
Via the written exam, the understanding of the methods and algorithms discussed in the course is assessed by means of textual descriptions, formulas, sketches, pseudocode, etc.
The lecture slides and any additional materials are provided for download via TUWEL.
The course requires basic knowledge in image processing, for example, as taught in related courses of the bachelor program Media Informatics and Visual Computing (e.g. course VU 186.822).
