Course Catalog 2012-2013 International Basic Pori International Postgraduate Open University |Degrees|     |Study blocks|     |Courses|

Course Catalog 2012-2013

SGN-5508 Multimedia Analysis and Retrieval, 5 cr

Additional information

Suitable for postgraduate studies

Person responsible

Murat Birinci, Serkan Kiranyaz, Esin Guldogan

Lessons

Study type	P1	P2	P3	P4	Summer	Implementations	Lecture times and places
Lectures Laboratory work			2 h/week  2 h/week	+2 h/week +2 h/week		SGN-5508 2012-01	Thursday 10 - 12, TB215

Learning outcomes

Upon completion of this course, the students shall learn: * the current approaches for searching, browsing, and mining various types of multimedia data such as images, audio and video (audiovisual data). * methods from machine learning and computer vision to these problems. * a broad range of techniques that 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.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	Image Analysis and Content-based image retrieval	Image Processing	Pattern Recognition
2.	Audio Analysis and Retrieval	Audio Processing	Pattern Recognition
3.	Video Analysis and Retrival	Video Processing and Coding	Pattern Recognition

Evaluation criteria for the course

Assignments/Exercises : 25% Final Exam : 75% Project Work (optional) : 10%

Assessment scale:

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

Study material

Type	Name	Author	ISBN	URL	Edition, availability, ...	Examination material	Language
Book	Introduction to MPEG-7						English
Lecture slides							English

Prerequisites

Course	Mandatory/Advisable	Description
SGN-3016 Digital Image Processing I	Mandatory

Prerequisite relations (Requires logging in to POP)

Correspondence of content

Course	Corresponds course	Description
SGN-5508 Multimedia Analysis and Retrieval, 5 cr	SGN-5507 Multimedia Analysis and Retrieval, 5-8 cr

More precise information per implementation

Implementation	Description	Methods of instruction	Implementation
SGN-5508 2012-01	Upon completion of this course, the students shall learn: * the current approaches for searching, browsing, and mining various types of multimedia data such as images, audio and video (audiovisual data). * methods from machine learning and computer vision to these problems. * a broad range of techniques that 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.

Last modified

09.02.2012