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Paper Abstract and Keywords
Presentation 2013-03-06 10:55
A model for predicting gaze shifts considering scanned log of gazed positions
Mayo Yamasaki, Takeshi Kohama (Kinki Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In late years, the distribution of gaze on the media, such as Web contents, are applied to evaluate the attractiveness of users attention. Mathematical models which computes the most likely target location based on the saliency maps is frequently used to predict gaze shifts in the visual scenery. However, these models can not reproduce temporal transition of gaze positions; the history of scanned regions. The purpose of this study is to predict the gaze shifts with temporal transition in the visual search tasks. Our model reproduces gaze shifts for searching targets by using conditional probability considering scanned logs of gaze positions. The probability map is calculated from the saliency distribution. To test the performances of our model, we compared the efficiency of target detection between our model and Itti & Koch’s original model in some visual search simulations. The results show that the proposed model can shift gaze positions without applying a winner-take-all process which is needed for the original model to select gaze targets. Moreover, the proposed model improves the accuracy of target detection rate, and also it can detect targets in the fewer steps than the original model. We computed the averaged diffusivity and similarity for the use of the indexes to evaluate the scan path profile of simulated gazed positions. These indexes indicate that the gaze distributions produced by the proposed model contain the temporal transition of scanned logs of the gazed positions.
Keyword (in Japanese) (See Japanese page) 
(in English) Visual attention / Saliency / Visual search / Visual context / / / /  
Reference Info. ITE Tech. Rep., vol. 37, no. 12, HI2013-49, pp. 31-34, March 2013.
Paper # HI2013-49 
Date of Issue 2013-02-26 (HI, 3DIT) 
ISSN Print edition: ISSN 1342-6893
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Conference Information
Committee HI 3DMT  
Conference Date 2013-03-05 - 2013-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo University of Agriculture and Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Audio-Visual Technology, Human Interface, etc. 
Paper Information
Registration To HI 
Conference Code 2013-03-HI-3DIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A model for predicting gaze shifts considering scanned log of gazed positions 
Sub Title (in English)  
Keyword(1) Visual attention  
Keyword(2) Saliency  
Keyword(3) Visual search  
Keyword(4) Visual context  
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1st Author's Name Mayo Yamasaki  
1st Author's Affiliation Kinki University (Kinki Univ.)
2nd Author's Name Takeshi Kohama  
2nd Author's Affiliation Kinki University (Kinki Univ.)
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Speaker Author-1 
Date Time 2013-03-06 10:55:00 
Presentation Time 25 minutes 
Registration for HI 
Paper # HI2013-49, 3DIT2013-17 
Volume (vol) vol.37 
Number (no) no.12 
Page pp.31-34 
#Pages
Date of Issue 2013-02-26 (HI, 3DIT) 


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