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Paper Abstract and Keywords
Presentation 2008-06-20 17:00
A Stochastic Model of Selective Visual Attention with a Dynamic Bayesian Network
Derek Pang (NTT/Simon Fraser Univ.), Akisato Kimura, Tatsuto Takeuchi, Junji Yamato, Kunio Kashino (NTT) DE2008-25 PRMU2008-43
Abstract (in Japanese) (See Japanese page) 
(in English) Recent studies in signal detection theory suggest that the human responses to the stimuli on a visual display are non-deterministic. People may attend to different locations on the same visual input at the same time. To predict the likelihood of where humans typically focus on a video scene, we propose a new stochastic model of visual attention by introducing a dynamic Bayesian network. When describing the network of visual attention, the principle of the signal detection theory is introduced, namely, the position where a saliency response takes the maximim is the eye focusing position. Experimental results have demonstrated that our model performs significantly better in predicting human visual attention compared to the previous deterministic model.
Keyword (in Japanese) (See Japanese page) 
(in English) visual attention / saliency / dynamic Bayesian network / state space model / hidden Markov model / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 94, PRMU2008-43, pp. 139-144, June 2008.
Paper # PRMU2008-43 
Date of Issue 2008-06-12 (DE, PRMU) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF DE2008-25 PRMU2008-43

Conference Information
Committee PRMU DE  
Conference Date 2008-06-19 - 2008-06-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Otaru-Shimin-Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2008-06-PRMU-DE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Stochastic Model of Selective Visual Attention with a Dynamic Bayesian Network 
Sub Title (in English)  
Keyword(1) visual attention  
Keyword(2) saliency  
Keyword(3) dynamic Bayesian network  
Keyword(4) state space model  
Keyword(5) hidden Markov model  
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Keyword(7)  
Keyword(8)  
1st Author's Name Derek Pang  
1st Author's Affiliation NTT/Simon Fraser University (NTT/Simon Fraser Univ.)
2nd Author's Name Akisato Kimura  
2nd Author's Affiliation NTT (NTT)
3rd Author's Name Tatsuto Takeuchi  
3rd Author's Affiliation NTT (NTT)
4th Author's Name Junji Yamato  
4th Author's Affiliation NTT (NTT)
5th Author's Name Kunio Kashino  
5th Author's Affiliation NTT (NTT)
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Speaker Author-2 
Date Time 2008-06-20 17:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # DE2008-25, PRMU2008-43 
Volume (vol) vol.108 
Number (no) no.93(DE), no.94(PRMU) 
Page pp.139-144 
#Pages 6 
Date of Issue 2008-06-12 (DE, PRMU) 

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