SGN-33007 Media Analysis, 5 cr

Lisätiedot

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.

Vastuuhenkilö

Jenni Raitoharju, Moncef Gabbouj

Osaamistavoitteet

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

Sisältö

Sisältö Ydinsisältö Täydentävä tietämys Erityistietämys
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.     

Oppimateriaali

Tyyppi Nimi Tekijä ISBN URL Lisätiedot Tenttimateriaali
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   

Esitietovaatimukset

Opintojakso P/S Selite
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.

Tietoa esitietovaatimuksista
It is desirable that the students have already taken or are concurrently taking SGN-41007 Pattern Recognition and Machine Learning



Vastaavuudet

Opintojakso Vastaa opintojaksoa  Selite 
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  

Päivittäjä: Ketola Susanna, 09.03.2018