Object and Scene Classification: what does a Supervised Approach Provide us?
dc.contributor.author
dc.date.accessioned
2010-05-19T09:14:41Z
dc.date.available
2010-05-03T15:05:17Z
2010-05-19T09:14:41Z
dc.date.issued
2006
dc.identifier.citation
Bosch Rué, A., Muñoz, X., Oliver, A., i Martí, R. (2006). Object and Scene Classification: what does a Supervised Approach Provide us?. 18th International Conference on Pattern Recognition : 2006 : ICPR 2006, 1, 773 - 777. Recuperat 10 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1699006
dc.identifier.isbn
0-7695-2521-0
dc.identifier.issn
1051-4651
dc.identifier.uri
dc.description.abstract
Given a set of images of scenes containing different object categories (e.g. grass, roads) our objective is to discover these objects in each image, and to use this object occurrences to perform a scene classification (e.g. beach scene, mountain scene). We achieve this by using a supervised learning algorithm able to learn with few images to facilitate the user task. We use a probabilistic model to recognise the objects and further we classify the scene based on their object occurrences. Experimental results are shown and evaluated to prove the validity of our proposal. Object recognition performance is compared to the approaches of He et al. (2004) and Marti et al. (2001) using their own datasets. Furthermore an unsupervised method is implemented in order to evaluate the advantages and disadvantages of our supervised classification approach versus an unsupervised one
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
IEEE
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Reproducció digital del document publicat a: http://dx.doi.org/10.1109/ICPR.2006.874
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© 18th International Conference on Pattern Recognition : 2006 : ICPR 2006, 2006, vol. 1, p. 773-777
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Articles publicats (D-ATC)
dc.rights
Tots els drets reservats
dc.subject
dc.title
Object and Scene Classification: what does a Supervised Approach Provide us?
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.identifier.doi