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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2002
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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 |
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Computer Sciences Graphics and Human Computer Interfaces NGO, Chong-wah PONG, Ting-Chuen HUANG, Thomas S. Detection of slide transition for topic indexing |
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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. |
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NGO, Chong-wah PONG, Ting-Chuen HUANG, Thomas S. |
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NGO, Chong-wah PONG, Ting-Chuen HUANG, Thomas S. |
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NGO, Chong-wah |
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Detection of slide transition for topic indexing |
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Detection of slide transition for topic indexing |
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Detection of slide transition for topic indexing |
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Detection of slide transition for topic indexing |
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Detection of slide transition for topic indexing |
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detection of slide transition for topic indexing |
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Institutional Knowledge at Singapore Management University |
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2002 |
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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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