A semantic concept for the mapping of low-level analysis data to high-level scene descriptions [Elektronische Ressource] = Ein semantisches Konzept für die Abbildung von Low-level-Analyseergebnissen auf High-level-Szenenbeschreibungen / von Holger Neuhaus

A Semantic Concept for The Mapping ofLow-level Analysis Data to High-level SceneDescriptionsEin semantisches Konzept fur die Abbildung von low-levelAnalyseergebnissen auf high-level SzenenbeschreibungenD I S S E R T A T I O Nzur Erlangung des akademischen GradesDoktoringenieur(Dr.-Ing.)vorgelegt derFakult at fur Elektrotechnik und InformationstechnikTechnische Universit at IlmenauvonDipl.-Ing. Holger Neuhausgeboren am 31.08.1972 in Rotenburg (Wumme)vorgelegt am: 18. Juni 2007Gutachter:1. Prof. Dr-Ing. Karlheinz Brandenburg2. Prof. Thomas Sikora3. Dr-Ing. Ulrich-Lorenz BenzlerVerteidigung am: 24. Oktober 2008urn:nbn:de:gbv:ilm1-2008000197AbstractAlong with the growing need for security, an increasing amount of surveil-lance content is created. It is indispensable to index the content in advancein order to enable quick and reliable searches on the output of hundredsor thousands of surveillance sensors installed at a single facility. For thispurpose, the concept of Smart Indexing and Retrieval (SIR) enables cost ef- cient searches by generating high-level meta data. The generation of thismeta data has to be done automatically, based on the low-level features ex-tracted by content analysis algorithms. Creating it manually becomes moreand more di cult to handle in reasonable time at reasonable costs.