Video partitioning by temporal slice coherency
We present a novel approach for video partitioning by detecting three essential types of camera breaks, namely cuts, wipes, and dissolves. The approach is based on the analysis of temporal slices which are extracted from the video by slicing through the sequence of video frames and collecting tempor...
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2001
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sg-smu-ink.sis_research-73532021-11-23T04:03:34Z Video partitioning by temporal slice coherency NGO, Chong-wah PONG, Ting-Chuen CHIN, Roland T. We present a novel approach for video partitioning by detecting three essential types of camera breaks, namely cuts, wipes, and dissolves. The approach is based on the analysis of temporal slices which are extracted from the video by slicing through the sequence of video frames and collecting temporal signatures. Each of these slices contains both spatial and temporal information from which coherent regions are indicative of uninterrupted video partitions separated by camera breaks. Properties could further be extracted from the slice for both the detection and classification of camera breaks. For example, cut and wipes are detected by color-texture properties, while dissolves are detected by statistical characteristics. The approach has been tested by extensive experiments. 2001-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6350 info:doi/10.1109/76.937435 https://ink.library.smu.edu.sg/context/sis_research/article/7353/viewcontent/00937435.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 cut detection color-texture segmentation dissolve detection spatio-temporal pattern spatio-temporal slice video partitioning wipe detection Data Storage Systems Graphics and Human Computer Interfaces |
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cut detection color-texture segmentation dissolve detection spatio-temporal pattern spatio-temporal slice video partitioning wipe detection Data Storage Systems Graphics and Human Computer Interfaces NGO, Chong-wah PONG, Ting-Chuen CHIN, Roland T. Video partitioning by temporal slice coherency |
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We present a novel approach for video partitioning by detecting three essential types of camera breaks, namely cuts, wipes, and dissolves. The approach is based on the analysis of temporal slices which are extracted from the video by slicing through the sequence of video frames and collecting temporal signatures. Each of these slices contains both spatial and temporal information from which coherent regions are indicative of uninterrupted video partitions separated by camera breaks. Properties could further be extracted from the slice for both the detection and classification of camera breaks. For example, cut and wipes are detected by color-texture properties, while dissolves are detected by statistical characteristics. The approach has been tested by extensive experiments. |
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NGO, Chong-wah PONG, Ting-Chuen CHIN, Roland T. |
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NGO, Chong-wah PONG, Ting-Chuen CHIN, Roland T. |
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NGO, Chong-wah |
title |
Video partitioning by temporal slice coherency |
title_short |
Video partitioning by temporal slice coherency |
title_full |
Video partitioning by temporal slice coherency |
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Video partitioning by temporal slice coherency |
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Video partitioning by temporal slice coherency |
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video partitioning by temporal slice coherency |
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Institutional Knowledge at Singapore Management University |
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2001 |
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https://ink.library.smu.edu.sg/sis_research/6350 https://ink.library.smu.edu.sg/context/sis_research/article/7353/viewcontent/00937435.pdf |
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