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Paper Abstract and Keywords
Presentation 2018-03-18 15:20
Saliency Map Estimation for Omni-Directional Image Considering Prior Distribution
Tatsuya Suzuki, Takao Yamanaka (Sophia Univ.) BioX2017-50 PRMU2017-186
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the Deep Learning techniques have been applied to the estimation of saliency maps, which represent probability density functions of fixations when people look at the images. Although the methods of saliency-map estimation have been actively studied for planar images, the methods for omni-directional images to be utilized in virtual environments had not been proposed, until a competition of saliency-map estimation for the omni-directional images was held in ICME2017. In this paper, novel methods for estimating saliency maps for the omni-directional images are proposed considering the properties of prior distributions for fixations in the planar images and the omni-directional images.
Keyword (in Japanese) (See Japanese page) 
(in English) Omni-directional image / Saliency map / Deep Learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 514, PRMU2017-186, pp. 85-90, March 2018.
Paper # PRMU2017-186 
Date of Issue 2018-03-11 (BioX, PRMU) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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 BioX2017-50 PRMU2017-186

Conference Information
Committee PRMU BioX  
Conference Date 2018-03-18 - 2018-03-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2018-03-PRMU-BioX 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Saliency Map Estimation for Omni-Directional Image Considering Prior Distribution 
Sub Title (in English)  
Keyword(1) Omni-directional image  
Keyword(2) Saliency map  
Keyword(3) Deep Learning  
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1st Author's Name Tatsuya Suzuki  
1st Author's Affiliation Sophia University (Sophia Univ.)
2nd Author's Name Takao Yamanaka  
2nd Author's Affiliation Sophia University (Sophia Univ.)
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Speaker
Date Time 2018-03-18 15:20:00 
Presentation Time 25 
Registration for PRMU 
Paper # IEICE-BioX2017-50,IEICE-PRMU2017-186 
Volume (vol) IEICE-117 
Number (no) no.513(BioX), no.514(PRMU) 
Page pp.85-90 
#Pages IEICE-6 
Date of Issue IEICE-BioX-2018-03-11,IEICE-PRMU-2018-03-11 


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