Course Catalog 2012-2013
Postgraduate

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 modified09.02.2012