Paper Abstract and Keywords |
Presentation |
2012-03-08 12:20
Distributed Video Coding by applying Super Resolution with Learning-Based Kernel Regression Ryotaro Nakamura, Shinobu Kudo (Keio Univ.), Takayuki Nakachi (NTT), Nozomu Hamada (Keio Univ.) CAS2011-111 SIP2011-131 CS2011-103 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Distributed video coding (DVC) is a novel and interesting video coding scheme which utilizes inter-frame prediction at decoder. However, the coding efficiency of DVC is inferior as compared to the existing coding systems such as H.264/AVC etc. The coding efficiency of DVC is significantly affected by the prediction accuracy at generating side information and the data amount of the key-frames. This study tries to improve the coding efficiency of DVC by applying super resolution technique. The bit rate for key-frame coding is reduced by employing down-sampling at the encoder. In addition, the side information is generated by applying motion-compensation to the key frames with low resolution, then image interpolation employing kernel regression algorithm is applied. This process may reduce the amount of error correction. Experiments applied to several standard video images show the coding efficiency improvement by the proposed method at medium- and low-bit-rates. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Distributed Video Coding / Super Resokution / Kernel Regression / Video Coding / k-means Clustering / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 466, SIP2011-131, pp. 25-30, March 2012. |
Paper # |
SIP2011-131 |
Date of Issue |
2012-03-01 (CAS, SIP, CS) |
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) |
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CAS2011-111 SIP2011-131 CS2011-103 |
Conference Information |
Committee |
CAS CS SIP |
Conference Date |
2012-03-08 - 2012-03-09 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
The University of Niigata |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Network Processor, Signal Processing for communication, and Wireless LAN/PAN, etc. |
Paper Information |
Registration To |
SIP |
Conference Code |
2012-03-CAS-CS-SIP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Distributed Video Coding by applying Super Resolution with Learning-Based Kernel Regression |
Sub Title (in English) |
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Keyword(1) |
Distributed Video Coding |
Keyword(2) |
Super Resokution |
Keyword(3) |
Kernel Regression |
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Video Coding |
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k-means Clustering |
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1st Author's Name |
Ryotaro Nakamura |
1st Author's Affiliation |
Keio University (Keio Univ.) |
2nd Author's Name |
Shinobu Kudo |
2nd Author's Affiliation |
Keio University (Keio Univ.) |
3rd Author's Name |
Takayuki Nakachi |
3rd Author's Affiliation |
NIPPON TELEGRAPH AND TELEPHONE CORPORATION (NTT) |
4th Author's Name |
Nozomu Hamada |
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Keio University (Keio Univ.) |
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Speaker |
Author-1 |
Date Time |
2012-03-08 12:20:00 |
Presentation Time |
25 minutes |
Registration for |
SIP |
Paper # |
CAS2011-111, SIP2011-131, CS2011-103 |
Volume (vol) |
vol.111 |
Number (no) |
no.465(CAS), no.466(SIP), no.467(CS) |
Page |
pp.25-30 |
#Pages |
6 |
Date of Issue |
2012-03-01 (CAS, SIP, CS) |
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