Inhalt
[ 921INSYMSRK13 ] KV Multimedia Search and Retrieval
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Es ist eine neuere Version 2021W dieser LV im Curriculum Master's programme Business Informatics 2024W vorhanden. |
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Workload |
Education level |
Study areas |
Responsible person |
Hours per week |
Coordinating university |
4,5 ECTS |
M1 - Master's programme 1. year |
Computer Science |
Markus Schedl |
3 hpw |
Johannes Kepler University Linz |
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Detailed information |
Original study plan |
Master's programme Computer Science 2013W |
Objectives |
In this course, students will learn the basics in multimedia processing and analysis, which are required to understand and build multimedia information systems.
At the end of the course, students will have a basic, but solid understanding of the following fields:
- text features (properties and extraction)
- audio/music features (properties and extraction)
- image features (properties and extraction)
- video features (properties and extraction)
- linear models for data analysis
- non-linear models for data analysis
- data fusion of multimodal data
- interfaces and browsing
- search and retrieval in multimedia repositories
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Subject |
We will first cover the four most important types of multimedia data (text, audio/music, image, video) individually, focusing on particularities of each data source and on aspects of feature extraction and data cleaning. After the first set of lectures, students will have acquired a solid knowledge in state-of-the-art feature extraction techniques. Hereafter, methods to analyze the extracted features will be discussed, in particular, methods of linear and non-linear data analysis for pattern discovery and information visualization.
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Criteria for evaluation |
written exam, practical exercise(s)
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Methods |
lectures, practical exercise(s)
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Language |
English |
Study material |
Slides, Scientific Papers, supporting book "Multimedia Retrieval"
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Changing subject? |
No |
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On-site course |
Maximum number of participants |
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Assignment procedure |
Direct assignment |
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