Robust video content analysis via transductive learning methods [Elektronische Ressource] / von Ralph Ewerth

Robust Video Content Analysis via Transductive Learning Methods Dissertation zur Erlangung des Doktorgrades der Naturwissenschaften (Dr. rer. nat.) vorgelegt dem Fachbereich Mathematik und Informatik der Philipps-Universität Marburg von Ralph Ewerth aus Hanau Marburg/Lahn, 2008 Erstgutachter: Prof. Dr. Bernd Freisleben Zweitgutachter: Prof. Dr. Otthein Herzog Tag der mündlichen Prüfung: ii iii iv FÜR MEINE MUTTER TO MY MOTHER v viABSTRACT Several technological innovations, such as increased hard disk capacities, improved network bandwidth and mobile multimedia devices, have fostered an enormous increase of multimedia data in recent years. The growing amount of multimedia data raises the question of how to efficiently index, summarize and retrieve multimedia content. Up to now, the necessary automatic understanding of multimedia content is an unsolved problem in practice. In addition, the variability of multimedia sources and content is enormous, and obviously this is also true for video databases. The research question addressed by this thesis is how to build robust video content analysis and indexing approaches that work reliably on arbitrary videos. Many video content analysis approaches are considered to be “robust” by their inventors.