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.
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Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. pp. 68. N° de réf. du vendeur 26128748294
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand pp. 68 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. N° de réf. du vendeur 131806425
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Vendeur : moluna, Greven, Allemagne
Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pinneli SrivaniImage processing has always fascinated me. My research for my Masters thesis was on finding the most important region in an image i.e. the Region of Interest . This book outlines an algorithm that can predict the . N° de réf. du vendeur 4964772
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND pp. 68. N° de réf. du vendeur 18128748300
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783639181227
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. 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 réf. du vendeur 101497192
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA75836391812206
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