SGN-33007 Media Analysis, 5 cr

Additional information

Because the course content and project are changing each year to accommodate the new trends in the field, it is mandatory to complete the course during the same implementation round (i.e. same year).
Suitable for postgraduate studies.

Person responsible

Jenni Raitoharju, Moncef Gabbouj

Lessons

Implementation Period Person responsible Requirements
SGN-33007 2018-01 3 Moncef Gabbouj
Jenni Raitoharju
Attendance, computer project and or seminar and exam

Learning Outcomes

Upon completion of this course, the students shall learn the basic concepts dealing with media analysis and processing.

Content

Content Core content Complementary knowledge Specialist knowledge
1. * the current approaches for searching, browsing, and mining various types of multimedia data such as images, and video.      
2. * methods from machine learning and computer vision for image/video processing and analysis.      
3. * 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, semantic-based retrieval techniques.     

Study material

Type Name Author ISBN URL Additional information Examination material
Book   Artificial Intelligence Now - Current Perspectives from O'Reilly Media   T. McGovern, Ed       Online book   No   
Book   Content-Based Management of Multimedia Databases   Kiranyaz, S. and Gabbouj, M.         No   
Book   Data Warehousing in the Age of Artificial Intelligence   G. Orenstein, C. Doherty, M. Boyarski and E. Boutin       Online book   No   
Book   Deep Learning   Ian Goodfellow, Yoshua Bengio, and Aaron Courville       Online book   No   
Book   Image Databases: Search and Retrieval of Digital Imagery   Vittorio Castelli and Lawrence D. Bergman         No   
Book   Multimedia Information Retrieval and Management   D. Feng, W. C. Siu and H. J. Zhang         No   

Prerequisites

Course Mandatory/Advisable Description
SGN-12001 Johdatus kuvan- ja videonkäsittelyyn Mandatory   1
SGN-12007 Introduction to Image and Video Processing Mandatory   1
SGN-13006 Introduction to Pattern Recognition and Machine Learning Mandatory    

1 . The student must pass either one of the courses.

Additional information about prerequisites
It is desirable that the students have already taken or are concurrently taking SGN-41007 Pattern Recognition and Machine Learning



Correspondence of content

Course Corresponds course  Description 
SGN-33007 Media Analysis, 5 cr SGN-31006 Image and Video Processing Techniques, 6 cr Muutettu ei vastaavuutta Sisuun siirtymisen vuoksi 16.5.2018 vh Muutettu takaisin uusi vastaa vanhaa HOPSin vuoksi 27.6.2018 jk  

Updated by: Ketola Susanna, 09.03.2018