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Paper Abstract and Keywords
Presentation 2018-01-18 11:50
Comparison between saliency maps using top-down and bottom-up factors
Shoichi Adachi, Aya Shiraiwa (Tottori Univ.), Shigang Li (Hirosima City Univ.) PRMU2017-120 MVE2017-41
Abstract (in Japanese) (See Japanese page) 
(in English) It is known that humans possess the ability to analyze complex scenes in real time. Based on this ability, saliency maps have been proposed that visualize the saliency of such scenes. In recent years, research using saliency maps has been actively conducted. In this study, we analyze the attention of humans while driving a car with a saliency map, using bottom-up factors for differentiating among colors and shapes, and top-down factors determined by deep learning. Furthermore, both subjective and objective evaluations are conducted to compare and evaluate the saliency maps in terms of each factor for attention analysis.
Keyword (in Japanese) (See Japanese page) 
(in English) Saliency Map / Deep Learning / Gaze measurement / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 391, PRMU2017-120, pp. 75-80, Jan. 2018.
Paper # PRMU2017-120 
Date of Issue 2018-01-11 (PRMU, MVE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 PRMU2017-120 MVE2017-41

Conference Information
Conference Date 2018-01-18 - 2018-01-19 
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 2018-01-PRMU-MVE-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Comparison between saliency maps using top-down and bottom-up factors 
Sub Title (in English)  
Keyword(1) Saliency Map  
Keyword(2) Deep Learning  
Keyword(3) Gaze measurement  
1st Author's Name Shoichi Adachi  
1st Author's Affiliation Tottori University (Tottori Univ.)
2nd Author's Name Aya Shiraiwa  
2nd Author's Affiliation Tottori University (Tottori Univ.)
3rd Author's Name Shigang Li  
3rd Author's Affiliation Hirosima City University (Hirosima City Univ.)
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Date Time 2018-01-18 11:50:00 
Presentation Time 25 
Registration for PRMU 
Paper # IEICE-PRMU2017-120,IEICE-MVE2017-41 
Volume (vol) IEICE-117 
Number (no) no.391(PRMU), no.392(MVE) 
Page pp.75-80 
#Pages IEICE-6 
Date of Issue IEICE-PRMU-2018-01-11,IEICE-MVE-2018-01-11 

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