188.498 Similarity Modeling 2 - Computational Seeing and Hearing
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019W, VU, 2.0h, 3.0EC, to be held in blocked form

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise

Learning outcomes

After successful completion of the course, students are able to implement complex media analysis systems comprising of signal processing, machine learning and deep learning. Implementation includes design, programming and evaluation based on ground truth.

Subject of course

  • Low-level feature extraction from audiovisual media
  • Semantic feature modeling
  • Similarity modeling and feature classifciation
  • Performance evaluation and statistical data analysis
  • Examples of applications and advanced topics

Teaching methods

Central topic of the course is understanding the importance of transformation operations for digital media description and similarity measurement. The desired understanding is developed interactively in the lecture part and consolidated by a realistic exercise in the practical part of the course.

Mode of examination

Immanent

Additional information

Pedagogic concept

  • Frame of knowledge transfer with lecture block at the beginning an exam at the end of the lecture
  • Exploration of lecture contents in a lab project in groups of 2-3 students
  • Application of state of the art visualization and seminar methods for enabling student participation during the lecture
  • Application of an open forum for knowledge exchange over groups during the lab course

ECTS Breakdown

Description                       ECTS  Hours
---------------------------------------------
Preparation                       0.04    1.0
Lecture                           0.32    8.0
Preparation of the Group Project  0.04    1.0
Group Project Work                1.88   47.0
Preparation of the Oral Exam      0.70   17.5
Oral Exam                         0.02    0.5
---------------------------------------------
Total                             3.00   75.0

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu09:00 - 10:0003.10.2019 Seminar Room 1882, Favoritenstr 9, Stair 3, 4th Floor, green AreaPre-Lecture Meeting
Thu13:00 - 16:0017.10.2019Seminarraum FAV 01 C (Seminarraum 188/2) Lecture
Fri09:00 - 12:0018.10.2019Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Course is held blocked

Examination modalities

Students are graded based on their performance in the practical part of the course as well as on thei participation in the lecture part.

Course registration

Begin End Deregistration end
13.09.2019 00:00 17.10.2019 16:00 17.10.2019 16:00

Curricula

Study CodeSemesterPrecon.Info
066 931 Logic and Computation

Literature

H. Eidenberger: "Professional Media Understanding", Atpress, Vienna, 2012.

List of topics and links in the TUWEL forum.

Previous knowledge

Programming in Java and/or Python

Preceding courses

Continuative courses

Miscellaneous

Language

English