[ 921INSYMSRK13 ] KV Multimedia Search and Retrieval

Es ist eine neuere Version 2021W dieser LV im Curriculum Master's programme Business Informatics 2023W vorhanden.
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
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
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.
Criteria for evaluation written exam, practical exercise(s)
Methods lectures, practical exercise(s)
Language English
Study material Slides, Scientific Papers, supporting book "Multimedia Retrieval"
Changing subject? No
On-site course
Maximum number of participants -
Assignment procedure Direct assignment