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ProVeR: Probabilistic Video Retrieval using the Gauss-Tree

11 years 1 months ago
ProVeR: Probabilistic Video Retrieval using the Gauss-Tree
Modeling objects by probability density functions (pdf) is a new powerful method to represent complex objects in databases. By representing an object as a pdf, e.g. a Gaussian, it is possible to represent very large and complex objects in a compact and still descriptive way. In this contribution, we propose ProVeR a prototype search engine for content-based video retrieval which represents a video as a set of Gaussians. The Gaussians are managed by the Gauss-tree, an index structure allowing the efficient processing of probabilistic queries. ProVeR provides even non-expert users with an intuitive method for efficient, content-based retrieval of videos containing similar shots and scenes.
Alexey Pryakhin, Christian Böhm, Matthias Sch
Added 01 Nov 2009
Updated 01 Nov 2009
Type Conference
Year 2007
Where ICDE
Authors Alexey Pryakhin, Christian Böhm, Matthias Schubert, Michael Gruber, Peter Kunath
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