Human Vision Based Framework for the Extraction of Salient Regions

Language: English

Published by LAP LAMBERT Academic Publishing Feb 2012, 2012

3848420074 / 9783848420070

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -Mechanisms which are not fully understood today, exist in human visual system that reduces the bulk of input sensory data and makes possible for visual system to analyze a scene in real time. The reduction of sensory input is based on saliency map i.e. a topographical map of salient regions, of the scene. Research work presented in this book has investigated the effect of blur on human visual attention. Hypothesis has been investigated that the sharp regions tend to capture attention irrespective of intensity, color or contrast. The second objective of this research was to find such algorithm of saliency detection that performs adequately in predicting human fixation for stimuli containing blur and sharp regions. Framework is proposed for the extraction of salient regions specifically for stimuli containing blur and sharp regions. Data gathered from visual experiment is used as the ground truth for identifying salient regions for 122 images (specifically built database) and compared with the salient regions extracted by new approach. Proposed approach for extraction of salient regions out performs state-of-the-art saliency detection methods in terms of precision and recall. 80 pp. Englisch.

Seller Inventory # 9783848420070

Title
Human Vision Based Framework for the Extraction of Salient Regions
Author
Rizwan Ahmed Khan
Publisher
LAP LAMBERT Academic Publishing Feb 2012
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3848420074
ISBN 13
9783848420070
Item weight
137 grams
Dimensions
220x150x5 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

Germany