Paper Abstract and Keywords |
Presentation |
2008-03-10 11:40
Shot Sequence Generation from Raw Footage based on Learning by Example for Video Editing Support Guozhen Jiang, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) IE2007-281 PRMU2007-265 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Video editing is generally realized by arranging video segments selected from raw footage. Considering professionally edited videos and their original footage as example videos, our aim is to automatically edit a raw footage based on the editing techniques learned from example videos. The proposed method firstly represents each shot constituting the edited videos by a symbol based on the image features such as shot length, motion, and brightness, and learns the shot temporal sequence pattern by Hidden Makov Model (HMM). For each set of consecutive shots in edited videos, the distribution of their relative positions in the original footage is also obtained. Then, a symbol sequence, which constructs an edited video, is generated by the learned HMM, and according to symbol
compatibilities of all shots in raw footages and the position distribution, we select the most appropriate shot for each symbol. In this paper, we used action movies as the example videos and evaluated our approach by editing an original movie. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Video Editing / Shot Temporal Sequence Patterns / Shot Sequence Generation / Hidden Markov Model / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 539, PRMU2007-265, pp. 127-132, March 2008. |
Paper # |
PRMU2007-265 |
Date of Issue |
2008-03-03 (IE, PRMU) |
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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IE2007-281 PRMU2007-265 |
Conference Information |
Committee |
PRMU IE |
Conference Date |
2008-03-10 - 2008-03-11 |
Place (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
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JAIST |
Paper Information |
Registration To |
PRMU |
Conference Code |
2008-03-PRMU-IE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Shot Sequence Generation from Raw Footage based on Learning by Example for Video Editing Support |
Sub Title (in English) |
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Keyword(1) |
Video Editing |
Keyword(2) |
Shot Temporal Sequence Patterns |
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Shot Sequence Generation |
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Hidden Markov Model |
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1st Author's Name |
Guozhen Jiang |
1st Author's Affiliation |
Osaka University (Osaka Univ.) |
2nd Author's Name |
Naoko Nitta |
2nd Author's Affiliation |
Osaka University (Osaka Univ.) |
3rd Author's Name |
Noboru Babaguchi |
3rd Author's Affiliation |
Osaka University (Osaka Univ.) |
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Speaker |
Author-1 |
Date Time |
2008-03-10 11:40:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
IE2007-281, PRMU2007-265 |
Volume (vol) |
vol.107 |
Number (no) |
no.538(IE), no.539(PRMU) |
Page |
pp.127-132 |
#Pages |
6 |
Date of Issue |
2008-03-03 (IE, PRMU) |
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