Detection of slide transition for topic indexing

This paper presents an automatic and novel approach in detecting the transitions of slides for video sequences of technical lectures. Our approach adopts a foreground vs background segmentation algorithm to separate a presenter from the projected electronic slides. Once a background template is gene...

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Main Authors: NGO, Chong-wah, PONG, Ting-Chuen, HUANG, Thomas S.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2002
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Online Access:https://ink.library.smu.edu.sg/sis_research/6553
https://ink.library.smu.edu.sg/context/sis_research/article/7556/viewcontent/10.1.1.97.7443.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-75562022-01-10T03:37:56Z Detection of slide transition for topic indexing NGO, Chong-wah PONG, Ting-Chuen HUANG, Thomas S. This paper presents an automatic and novel approach in detecting the transitions of slides for video sequences of technical lectures. Our approach adopts a foreground vs background segmentation algorithm to separate a presenter from the projected electronic slides. Once a background template is generated, text captions are detected and analyzed. The segmented caption regions as well as background templates together provide salient visual cues to decide whether a slide is flipped and replaced. The partitioning of videos according to slide changes not only structure the content of video according to topics, but also facilitate the synchronization of video, audio and electronic slides for effective indexing, browsing and retrieval. 2002-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6553 info:doi/10.1109/ICME.2002.1035669 https://ink.library.smu.edu.sg/context/sis_research/article/7556/viewcontent/10.1.1.97.7443.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Computer Sciences Graphics and Human Computer Interfaces
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Computer Sciences
Graphics and Human Computer Interfaces
spellingShingle Computer Sciences
Graphics and Human Computer Interfaces
NGO, Chong-wah
PONG, Ting-Chuen
HUANG, Thomas S.
Detection of slide transition for topic indexing
description This paper presents an automatic and novel approach in detecting the transitions of slides for video sequences of technical lectures. Our approach adopts a foreground vs background segmentation algorithm to separate a presenter from the projected electronic slides. Once a background template is generated, text captions are detected and analyzed. The segmented caption regions as well as background templates together provide salient visual cues to decide whether a slide is flipped and replaced. The partitioning of videos according to slide changes not only structure the content of video according to topics, but also facilitate the synchronization of video, audio and electronic slides for effective indexing, browsing and retrieval.
format text
author NGO, Chong-wah
PONG, Ting-Chuen
HUANG, Thomas S.
author_facet NGO, Chong-wah
PONG, Ting-Chuen
HUANG, Thomas S.
author_sort NGO, Chong-wah
title Detection of slide transition for topic indexing
title_short Detection of slide transition for topic indexing
title_full Detection of slide transition for topic indexing
title_fullStr Detection of slide transition for topic indexing
title_full_unstemmed Detection of slide transition for topic indexing
title_sort detection of slide transition for topic indexing
publisher Institutional Knowledge at Singapore Management University
publishDate 2002
url https://ink.library.smu.edu.sg/sis_research/6553
https://ink.library.smu.edu.sg/context/sis_research/article/7556/viewcontent/10.1.1.97.7443.pdf
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