Ruben Verborgh

The devil is in the details,
but the demons are in the semantics.

Application of Semantic Web Technologies for Multimedia Annotation

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The enormous growth of multimedia on the Internet—partly thanks to video sharing websites such as Youtube—has posed us with new and exciting challenges. For instance, how to find that one video you need among millions of others? Suppose you want to see the trailer of a movie starring Koen De Bouw and Matthias Schoenaerts but cannot remember its title. Descriptive data about videos, so-called metadata, enables this task. Unfortunately, annotating video with metadata is expensive because of the required amount of manual work. Automating this process requires intelligence that reaches beyond simple object and people recognition. The Semantic Web provides human knowledge in a form that machines can interpret. My research focuses on methods that apply this knowledge for multimedia annotation.

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Published in 2010 in Proceedings of the 11th Faculty of Engineering and Architecture PhD Symposium at Ghent University.

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