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Objekterkennung in Bildern und Videos

From Multimedia Computing Lab - University of Augsburg


Instructors: Prof. Dr. Rainer Lienhart, Simon Hoffmann
Synopsis: This seminar covers a variety of topics in object recognition and detection in images and videos relevant to current research. The goal is to learn both about these interesting topics as well as about how to give a scientific talk and to write a report.
Time and place: Wednesday 10:00 - 11:30 Uhr, room 202 (Eichleitnerstr.)
Grading policy:
  • Presentation in class: 25-30 min talk, additional 5-10 min questions and discussion
  • Written report (LaTeX) on the topic presented
  • Preparation: every student must read the papers discussed in class in advance
  • Participation in class
  • Discussion with advisor: yes, you're allowed to ask questions. ;-)
Credits: 2 SWS, Schein: yes, credit points: 4
Multimedia sub-categories: Multimedia-Methoden, Multimedia-Anwendungen
Language: German
Possible follow-ups: Diploma, Master, Bachelor thesis, HiWi job at the Multimedia Computing Lab.


Schedule

Date Talk title Speaker Reading
24.10.2007 Introduction Simon Hoffmann Slides (PDF), Meta report (ZIP)
31.10.2007 Implementierung eines formbasierten Regionenmerkmals Thomas Greif Alexander C. Berg, Tamara L. Berg, Jitendra Malik: Shape Matching and Object Recognition using Low Distortion Correspondence, IEEE Computer Vision and Pattern Recognition (CVPR) 2005
28.11.2007 How Flickr helps us make sense of the world Georg Döhring Lyndon Kennedy, Mor Naaman, Shane Ahern, Rahul Nair, and Tye Rattenbury: How Flickr helps us make sense of the world: context and content in community-contributed media collections. Proceedings of the 15th International Conference on Multimedia, Augsburg, Germany, 2007.
05.12.2007 Accurate Object Localization with Shape Masks Stefan Romberg Marcin Marszalek and Cordelia Schmid: Accurate Object Localization with Shape Masks. IEEE Conference on Computer Vision & Pattern Recognition, 2007.
12.12.2007 Matching Local Self-Similarities across Images and Videos Jonas Zimmermann Eli Shechtman and Michal Irani: Matching Local Self-Similarities across Images and Videos. IEEE Conference on Computer Vision and Pattern Recognition, 2007.