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PAMI
2008

Scene Classification Using a Hybrid Generative/Discriminative Approach

13 years 11 months ago
Scene Classification Using a Hybrid Generative/Discriminative Approach
We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail we are given a set of labelled images of scenes (e.g. coast, forest, city, river, etc) and our objective is to classify a new image into one of these categories. Our approach consists of first discovering latent "topics" using probabilistic Latent Semantic Analysis (pLSA), a generative model from the statistical text literature here applied to a bag of visual words representation for each image, and subsequently training a multi-way classifier on the topic distribution vector for each image. We compare this approach to that of representing each image by a bag of visual words vector directly, and training a multi-way classifier on these vectors. To this end we introduce a novel vocabulary using dense colour SIFT descriptors, and then investigate the classification performance under changes in the size of the visual voc...
Anna Bosch, Andrew Zisserman, Xavier Muñoz
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2008
Where PAMI
Authors Anna Bosch, Andrew Zisserman, Xavier Muñoz
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