Multimedijski sistemi
Section outline
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Disclaimer: This course is officially held in English. All the materials, lectures are in English. But you can also communicate with the lecturer in Slovenian if you feel more comfortable.
Since the lecturer will be attending a conference in the first week of October, the course will start in the second week. The laboratory exercises will start one week after first lectures.
To pass the course you have to complete theoretical (exam) and practical part. The practical part is either regular exercises or a project that spans the entire semester.
Laboratory exercises deal with practical work and are centered around five separate exercises, for each you have about two weeks' time. The result of each exercise is a source code (Jupyter notebook) that is submitted on Učilnica. The exercises will be graded in an off-line manner and an oral presentation may be requested at some point during the semester (you will be notified in advance so that you can refresh your memory about your work). More information regarding grading will be given at the introductory laboratory sessions. To pass the practical part of the course you have to successfully complete all five exercises. This is a requirement to attend the exam. The exercise sessions are focused on consultations / assistance with the exercise, they will not include additional lectures or guided coding sessions.
Practical project involves in-depth study of a single topic that ends with a prototype of a practical application or a service that is presented at the end of the semester during the lectures.
Course literature:
- Lecture slides
- Lecture notes
- Ze-Nian Li and Mark S. Drew, "Fundamentals of Multimedia", Pearson. 2004.
- C. D. Manning, P. Raghavan, H. Schütze, "Introduction to Information Retrieval", Cambridge University Press. 2008. accessible here: http://nlp.stanford.edu/IR-book/
- Richard Szeliski,"Computer Vision: Algorithms and Applications", accessible here: http://szeliski.org/Book/.
- Bimbo, del, A. "Visual Information Retrieval", Morgan Kauffman, 1999
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This is an evolving list of topics that interest me, not all of them are related to multimedia, but most of them are at least to some degree.
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Lectures: Introduction, Machine learning in MultimediaPracticum: no laboratory sessions in the first week
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Lectures: Image processingExercises: Introductory information, tutorial on Python and Numpy, First exercise
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Lectures: Image processing
Laboratory: Consultations -
Lectures: image processing, video processing
Labs: no consultations this week (holiday)
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Lectures: Video processing, Image and video acquisitionLaboratory: Consultations
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Lectures: Image and video acquisition, Audio
Exercises: Consultations, Third exercise available -
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Lectures: Audio, Compression in multimedia
Exercises: Consultations -