Inhalt
[ 921INSYMSRK13 ] KV Multimedia Search and Retrieval
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| Es ist eine neuere Version 2021W dieser LV im Curriculum Masterstudium Wirtschaftsinformatik 2023W vorhanden. |
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| Workload |
Ausbildungslevel |
Studienfachbereich |
VerantwortlicheR |
Semesterstunden |
Anbietende Uni |
| 4,5 ECTS |
M1 - Master 1. Jahr |
Informatik |
Markus Schedl |
3 SSt |
Johannes Kepler Universität Linz |
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| Detailinformationen |
| Quellcurriculum |
Masterstudium Computer Science 2021S |
| Ziele |
This course enables students to understand and apply basic methods of multimedia processing and analysis, aimed at building multimedia search and retrieval systems. At the end of the course, students will be capable of
- extracting textual features from multimedia data
- extracting audio/music features from multimedia data
- extracting image and video features from multimedia data
- analyzing multimedia data using statistical and exploratory methods
- fusing multimodal representations using early and late fusion
- building search and retrieval systems for multimedia repositories
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| Lehrinhalte |
We will first discuss the most important types of multimedia data (text, audio/music, image, video) individually, focusing on particularities of each modality and on aspects of feature extraction. Subsequently, strategies to fuse the individual, single-modal representations (using early and late fusion) will be elaborated. Methods to analyze the extracted features will be discussed, in particular methods of linear and non-linear data analysis for pattern discovery and visual analytics. In the practical part, students will work on a multimedia retrieval task (e.g., content-based result diversification).
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| Beurteilungskriterien |
written exam, practical exercise(s)
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| Lehrmethoden |
lectures, practical exercise(s)
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| Abhaltungssprache |
Englisch |
| Literatur |
slides, scientific papers
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| Lehrinhalte wechselnd? |
Nein |
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| Präsenzlehrveranstaltung |
| Teilungsziffer |
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| Zuteilungsverfahren |
Direktzuteilung |
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