Study Guide 2015-2016

SGN-31006 Image and Video Processing Techniques, 6 cr

Lessons

Study type P1 P2 P3 P4 Summer Lecture times and places
Lectures
Excercises


 


 
 3 h/week
 2 h/week
+3 h/week
+2 h/week


 
Wednesday 14 - 17 , TB109
Wednesday 14 - 17 , TB222


Description:

Course Topic: Current approaches for searching, browsing, and mining various types of multimedia data such as images, and video. The focus is on applying methods from machine learning and computer vision on to these problems. In this course, a broad range of techniques will be studied including multimedia features, video analysis and management, retrieval techniques, spatial indexing methods, long-term learning and Relevance Feedback, audio analysis and retrieval, semantic-based retrieval techniques.

Person responsible:

Moncef Gabbouj
Atanas Gotchev

Target groups:

Bioengineering/Science and Bioengineering
Biomedical Engineering (before 1.8.2014)
Electrical Engineering
Information Technology
International Students
Tietotekniikka

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course