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portada predicting the perceived interest of object in images
Type
Physical Book
Author
Publisher
Year
2009
Language
English
Pages
68
Format
Paperback
Dimensions
22.9 x 15.2 x 0.4 cm
Weight
0.11 kg.
ISBN
3639181220
ISBN13
9783639181227
Categories

predicting the perceived interest of object in images

Srivani Pinneli (Author) · VDM Verlag · Paperback

predicting the perceived interest of object in images - Pinneli, Srivani

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Delivery: 22 Jul - 20 Aug Shipping: 15 to 20 business days.
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Synopsis "predicting the perceived interest of object in images"

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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