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Paper Abstract and Keywords
Presentation 2021-06-03 14:45
A Study on Polynomial Functions for Optical Flow Estimation
Joi Shimizu, Heming Sun, Jiro Katto (Waseda Univ.) SIP2021-1 BioX2021-1 IE2021-1
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, many deep learning based models for optical flow estimation have been proposed. Optical flow estimation is utilized in tasks such as frame interpolation. In this paper, we investigate different optical flow calculation methods which can be applied to frame interpolation. One approach for frame interpolation is calculating the bi-directional optical flow and linearly warping the intermediate frame. In this method, however, movements in frames are assumed to be in the same speed, therefore, not taking acceleration into consideration. To address this issue, polynomial functions for the time variable are proposed. In this research, we compare the accuracy of the flows when using linear, quadratic and cubic functions. Results shows that applying quadratic and cubic functions can lead to better accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Optical Flow / Interpolation / Deep Learning / Video Compression / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 56, IE2021-1, pp. 1-5, June 2021.
Paper # IE2021-1 
Date of Issue 2021-05-27 (SIP, BioX, IE) 
ISSN 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 SIP2021-1 BioX2021-1 IE2021-1

Conference Information
Committee IE SIP BioX ITE-IST ITE-ME  
Conference Date 2021-06-03 - 2021-06-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2021-06-IE-SIP-BioX-IST-ME 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Polynomial Functions for Optical Flow Estimation 
Sub Title (in English)  
Keyword(1) Optical Flow  
Keyword(2) Interpolation  
Keyword(3) Deep Learning  
Keyword(4) Video Compression  
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Keyword(6)  
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1st Author's Name Joi Shimizu  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Heming Sun  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Jiro Katto  
3rd Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2021-06-03 14:45:00 
Presentation Time 30 minutes 
Registration for IE 
Paper # SIP2021-1, BioX2021-1, IE2021-1 
Volume (vol) vol.121 
Number (no) no.54(SIP), no.55(BioX), no.56(IE) 
Page pp.1-5 
#Pages 5 
Date of Issue 2021-05-27 (SIP, BioX, IE) 

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