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| HAL: inria-00396790, version 1 |
| See detailed view |  BibTeX,EndNote,... |
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| Adaptive Multimedia Retrieval workshop (AMR'08), Berlin : Germany (2008) |
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| Geo-temporal structuring of a personal image database with two-level variational-Bayes mixture estimation |
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| Pierrick Bruneau 1, 2Antoine Pigeau 2 |
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| (2010) |
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| This paper addresses unsupervised hierarchical classication of personal documents tagged with time and geolocation stamps. The target application is browsing among these documents. A rst partition of the data is built, based on geo-temporal measurement. The events found are then grouped according to geolocation. This is carried out through tting a two-level hierarchy of mixture models to the data. Both mixtures are estimated in a Bayesian setting, with a variational proce- dure: the classical VBEM algorithm is applied for the ner level, while a new variational-Bayes-EM algorithm is introduced to search for suitable groups of mixture components from the ner level. Experimental results are reported on articial and real data. |
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| 1: | ATLAS (INRIA) |
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INRIA – Université de Nantes |
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| 2: | Laboratoire d'Informatique de Nantes Atlantique (LINA) |
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CNRS : UMR6241 – Université de Nantes – École Nationale Supérieure des Mines - Nantes |
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| Domain | : | Computer Science/Computer Vision and Pattern Recognition |
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| inria-00396790, version 1 | |
| http://hal.inria.fr/inria-00396790 | |
| oai:hal.inria.fr:inria-00396790 | |
| From: Marc Gelgon | |
| Submitted on: Thursday, 18 June 2009 19:00:54 | |
| Updated on: Friday, 2 April 2010 18:47:28 | |
