Camera break detection by partitioning of 2D spatio-temporal images in MPEG domain
In this paper, we propose a new approach to detect camera cuts and wipes. The approach projects a video into two images representing the spatio-temporal continuity of a video life. Visually, these images are composed by regions of different patterns, each region represents the temporal location of a...
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sg-smu-ink.sis_research-76152022-01-14T03:55:04Z Camera break detection by partitioning of 2D spatio-temporal images in MPEG domain NGO, Chong-Wah In this paper, we propose a new approach to detect camera cuts and wipes. The approach projects a video into two images representing the spatio-temporal continuity of a video life. Visually, these images are composed by regions of different patterns, each region represents the temporal location of a shot. The shape of a region boundary inherently classifies cut and wipe, and most importantly, marks the start and end of a wipe sequence. We hence formulate algorithms to locate the color and texture discontinuities occurring at the boundaries of image regions. 1999-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6612 info:doi/10.1109/MMCS.1999.779293 https://ink.library.smu.edu.sg/context/sis_research/article/7615/viewcontent/02539750.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 spatio-temporal image segmentation camera cut and wipe detection Computer Sciences Graphics and Human Computer Interfaces |
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spatio-temporal image segmentation camera cut and wipe detection Computer Sciences Graphics and Human Computer Interfaces NGO, Chong-Wah Camera break detection by partitioning of 2D spatio-temporal images in MPEG domain |
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In this paper, we propose a new approach to detect camera cuts and wipes. The approach projects a video into two images representing the spatio-temporal continuity of a video life. Visually, these images are composed by regions of different patterns, each region represents the temporal location of a shot. The shape of a region boundary inherently classifies cut and wipe, and most importantly, marks the start and end of a wipe sequence. We hence formulate algorithms to locate the color and texture discontinuities occurring at the boundaries of image regions. |
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NGO, Chong-Wah |
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NGO, Chong-Wah |
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NGO, Chong-Wah |
title |
Camera break detection by partitioning of 2D spatio-temporal images in MPEG domain |
title_short |
Camera break detection by partitioning of 2D spatio-temporal images in MPEG domain |
title_full |
Camera break detection by partitioning of 2D spatio-temporal images in MPEG domain |
title_fullStr |
Camera break detection by partitioning of 2D spatio-temporal images in MPEG domain |
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Camera break detection by partitioning of 2D spatio-temporal images in MPEG domain |
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camera break detection by partitioning of 2d spatio-temporal images in mpeg domain |
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Institutional Knowledge at Singapore Management University |
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1999 |
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https://ink.library.smu.edu.sg/sis_research/6612 https://ink.library.smu.edu.sg/context/sis_research/article/7615/viewcontent/02539750.pdf |
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