Multimedia Retrieval
Multimedia data penetrate all areas of our lives and become more important
than ever. We meet them in social media applications, video streaming
services, digital libraries as well as in specialized medical or industrial
fields. As multimedia data are produced using sensors, their primary
representation is semantically unstructured (e.g., an image is a bunch of
pixels). Hence, recognition of what actually is inside a particular
multimedia document and subsequent retrieval is a hard task that requires
advanced techniques for feature extraction, object detection, similarity
modeling, etc. Many of these techniques are based on machine-learning models.
We carry out research in various multimedia retrieval problems and also
propose many topics for student academic works (Bc, Mgr, PhD).
