Predicting the Perceived Interest of Object in Images | "Region of Interest" detection using the "Bayesian probabilistic approach"

Descripción:

Predicting the Perceived Interest of Object in Images | "Region of Interest" detection using the "Bayesian probabilistic approach" | Srivani Pinneli | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639181227 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de ref. del artículo 101497192

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Sinopsis:

Reseña del editor: This book presents an algorithm that uses a "Bayesian probabilistic apprroach" to compute the perceived interest of objects in images. A set of likelihood functions were measured via a psychophysical experiment in which subjects rated the perceived visual interest of over 1100 objects in 300 images. These results were then used to determine the likelihood of perceived interest given various factors such as location, contrast, color, luminance, edge-strength and blur. These likelihood functions are used as part of a Bayesian formulation in which perceived interest is inferred based on the factors mentioned above. Our results demonstrate that our algorithm can perform well in predicting perceived interest. A block-based approach is also proposed which doesn¿t need segmentation and is fast- enough to be used in real-time applications.