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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Main Author: NGO, Chong-Wah
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1999
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Online Access: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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Institution: Singapore Management University
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spelling 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
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic spatio-temporal image segmentation
camera cut and wipe detection
Computer Sciences
Graphics and Human Computer Interfaces
spellingShingle 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
description 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.
format text
author NGO, Chong-Wah
author_facet NGO, Chong-Wah
author_sort 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
title_full_unstemmed Camera break detection by partitioning of 2D spatio-temporal images in MPEG domain
title_sort camera break detection by partitioning of 2d spatio-temporal images in mpeg domain
publisher Institutional Knowledge at Singapore Management University
publishDate 1999
url 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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