SS 17 Multimedia II
From Multimedia Computing Lab - University of Augsburg
Registration is open on Digicampus:
|Instructors:||Prof. Dr. Rainer Lienhart, Philipp Harzig|
|Time Lecture:||Tue, 08:15-09:45, room 1058N and Fri, 10:00-11:30, room 1058N|
|Time Exercise:||Fr, 12:15-13:45, room 1058N; first exercise will be on 12.05.2017|
|Examine:||See DIGICAMPUS for date. (separate registration via STUDIS required)|
|Credits:||6 SWS, LP: 8|
|Multimedia Teilbereiche:||Multimedia-Methoden, Multimedia-Anwendungen|
|Synopsis:|| This course addresses state-of-the-art computer vision algorithms that let computers see, learn, and understand image and video content. After being taught the required basics in machine learning, students will - accompanied by practical exercises - get to know the most promising techniques.
The topics of the course may be summarized as follows:
The learned concepts will be illustrated by successful examples in practice. The accompanying exercises will contain some hands-on experiences. Towards the end of the course more advanced topics in object detection and object recognition will be addressed.
- [10.04.2017] Page creation.
- In order to be admitted to the final exam, students are required to register with the course in Digicampus and STUDIS. No additional requirements are imposed.
- All reading notes are relevant for the exams independent on how thoroughly they have been discussed during the lecture. Thus read them carefully.
- M. Mitchell. Machine Learning. McGraw-Hill Science/Engineering/Math; Chapters 1-8; (http://www-2.cs.cmu.edu/~tom/mlbook.html)
- Jeff Hawkins, Sandra Blakeslee. On Intelligence. B&T; Auflage: Reprint (August 2005), ISBN-13: 978-0805078534
- Bernd Jähne. Digital Image Processing. Springer Verlag.
- David A. Forsyth and Jean Ponce. Computer Vision: A Modern Approach. Prentice Hall, Upper Saddle River, New Jersey 07458.( http://www.cs.berkeley.edu/~daf/book.html )
All reading notes are relevant for the exams independent on how thoroughly they have been discussed in the lecture. Thus we suggest to read and study them carefully.