Paper Abstract and Keywords |
Presentation |
2023-06-03 14:30
Video Encoding Scheme Using Autoencoder with Learning Decoded Image of Previous Frame Koki Inoue, Atsushi Koike (Seikei Univ) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, research on image processing using deep learning has been active, and an image coding method using neural networks has been proposed. In this paper, we propose a video coding method using an auto encoder. The encoding performance is improved by learning the decoded image of the previous frame during encoding, and video coding is performed. In this study, we conducted computer experiments using 4K video images to compare and evaluate two methods, one using a new autoencoder when learning decoded images and the other using a learned autoencoder. Compared to coding with a learned model, this method can improve the image quality with each successive frame. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Neural network / Image processing / Video coding / / / / / |
Reference Info. |
ITE Tech. Rep., vol. 47, pp. 27-30, June 2023. |
Paper # |
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Date of Issue |
2023-05-27 (AIT) |
ISSN |
Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
IIEEJ AIT |
Conference Date |
2023-06-03 - 2023-06-04 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
TOKYO CITY UNIVERSITY |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
IIEEJ |
Conference Code |
2023-06-IIEEJ-AIT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Video Encoding Scheme Using Autoencoder with Learning Decoded Image of Previous Frame |
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Neural network |
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Image processing |
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Video coding |
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1st Author's Name |
Koki Inoue |
1st Author's Affiliation |
Seikei University (Seikei Univ) |
2nd Author's Name |
Atsushi Koike |
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Seikei University (Seikei Univ) |
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Speaker |
Author-1 |
Date Time |
2023-06-03 14:30:00 |
Presentation Time |
20 minutes |
Registration for |
IIEEJ |
Paper # |
AIT2023-131 |
Volume (vol) |
vol.47 |
Number (no) |
no.16 |
Page |
pp.27-30 |
#Pages |
4 |
Date of Issue |
2023-05-27 (AIT) |