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Object and Scene Classification: what does a Supervised Approach Provide us?
Bosch Rué, Anna; Muñoz Pujol, Xavier; Oliver i Malagelada, Arnau; Martí Marly, Robert
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
20-05-2010
Imatges -- Processament -- Tècniques digitals
Reconeixement de formes (Informàtica)
Visió per ordinador
Computer vision
Image processing -- Digital techniques
Pattern recognition systems
Tots els drets reservats
Artículo
IEEE
         

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