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WS 10/11: Seminar: Multimediale Datenverarbeitung

From Multimedia Computing Lab - University of Augsburg


Overview

Instructors: Stefan Romberg
Time Lecture: Friday, 14:00 - 15:30, Room 1020N. See dates in schedule below.
Credits: 2 SWS, 4 LP
Language: German

This seminar for Bachelor students covers recent research in the domain of object detection and object recognition in images. Students have the opportunity to see some of the freshest and most interesting papers in that field. At the same time they learn how to give a scientific talk and how wo write a report.

Administrative Information

Important Notes

  • 22.11.2010: There was an incorrect submission date for your term paper mentioned in the introductory document. The term paper should be submitted one week after your presentation.
  • 16.11.2010: Schedule has been updated. Affected presentations are colored red.
  • One week before presentation: Arrange meeting with me (Stefan) to discuss the outline of your presentation.
  • On day of presentation: Send me your slides by e-mail.
  • One week after presentation: Send me your final document by e-mail.

What you have to do

  • Presentation in class: 25-30 min talk, additional 5-10 min questions and discussion
  • Written report on the topic presented (Can be done in Word, LaTeX, OpenOffice, etc...)
  • Preparation: every student must read the papers discussed in class in advance
  • Participation in class

Language

  • The course itself will be held in German. You can write your report either in German or English, whatever you prefer most.

Multimedia Teilbereiche

  • Multimedia-Methoden
  • Systemnahe Aspekte von Multimedia
  • Multimedia Anwendungen

Material

Description File
Example LaTeX template ZIP

Schedule

Date Lecturer Topic Lit. Slides
22.10. Stefan Romberg Organisatorisches + Einführung PDF
12.11. Kreymerman, Mikhail „Distinctive Image Features From Scale-Invariant Keypoints“ PDF Slides
19.11. Steger, Markus
Loos, Christian
„Video Google - A Text Retrieval Approach to Object Matching in Videos“
„Locally Optimized RANSAC“
PDF
PDF
Slides
Slides
26.11. Foroponova, Victoria
Weichenmeier, Jürgen
„Robust Real-time Object Detection“
„Local Features for Object Class Recognition “
PDF
PDF
Slides
 
3.12. Urban, Maximilian
Rudenko, Olena
„Discovering objects and their location in images“
„Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval “
Slides
Slides
10.12 „Histograms of Oriented Gradients for Human Detection“ HOG
17.12. Moßner, Franziska
Rüschenbaum, Kai
„Scalable Recognition with a Vocabulary Tree“
„Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories“
Slides  
Slides
14.1 Schultz, Matias
Klose, Philipp
„Image Classification using Random Forests and Ferns“
„Random Subwindows for Robust Object Detection“
Slides
Slides
21.1. Haas, Florian
Ermolin, Pavel
„Geometric min-Hashing: Finding a (Thick) Needle in a Haystack“
„Cat Head Detection - How to Effectively Exploit Shape and Texture Features“
Slides
Slides
28.1 Schreiber, Richard
Zecha, Dan
„Spatial-Bag-of-Features“
„A Discriminatively Trained, Multiscale, Deformable Part Model“
Slides
Slides