Motion retrieval by temporal slices analysis
In this papel; we investigate video shots retrieval based on the analysis of temporal slice images. Temporal slices are a set of2D images extracted along the time dimension of image sequences. They encode rich set of motion clues for shot similarity measure. Because motion is depicted as texture ori...
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2002
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sg-smu-ink.sis_research-73812021-11-23T02:43:34Z Motion retrieval by temporal slices analysis NGO, Chong-Wah NGO, Chong-wah ZHANG, Hong-Jiang In this papel; we investigate video shots retrieval based on the analysis of temporal slice images. Temporal slices are a set of2D images extracted along the time dimension of image sequences. They encode rich set of motion clues for shot similarity measure. Because motion is depicted as texture orientation in temporal slices, we utilize various texture features such as tensor histogram, Gabor feature, and the statistical feature of co-occurrence matrix extracted directly from slices for motion description and retrieval. In this way, motion retrieval can be treated in a similar way as texture retrieval problem. Experimental results indicate that the features extracted from slices perform satisfactorily in the sport video domain and are, in general, superior to the histogram of MPEG motion vector. 2002-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6378 info:doi/10.1109/ICPR.2002.1047401 https://ink.library.smu.edu.sg/context/sis_research/article/7381/viewcontent/169540064.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 Data Storage Systems Graphics and Human Computer Interfaces |
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Data Storage Systems Graphics and Human Computer Interfaces NGO, Chong-Wah NGO, Chong-wah ZHANG, Hong-Jiang Motion retrieval by temporal slices analysis |
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In this papel; we investigate video shots retrieval based on the analysis of temporal slice images. Temporal slices are a set of2D images extracted along the time dimension of image sequences. They encode rich set of motion clues for shot similarity measure. Because motion is depicted as texture orientation in temporal slices, we utilize various texture features such as tensor histogram, Gabor feature, and the statistical feature of co-occurrence matrix extracted directly from slices for motion description and retrieval. In this way, motion retrieval can be treated in a similar way as texture retrieval problem. Experimental results indicate that the features extracted from slices perform satisfactorily in the sport video domain and are, in general, superior to the histogram of MPEG motion vector. |
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NGO, Chong-Wah NGO, Chong-wah ZHANG, Hong-Jiang |
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NGO, Chong-Wah NGO, Chong-wah ZHANG, Hong-Jiang |
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NGO, Chong-Wah |
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Motion retrieval by temporal slices analysis |
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Motion retrieval by temporal slices analysis |
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Motion retrieval by temporal slices analysis |
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Motion retrieval by temporal slices analysis |
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Motion retrieval by temporal slices analysis |
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motion retrieval by temporal slices analysis |
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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/6378 https://ink.library.smu.edu.sg/context/sis_research/article/7381/viewcontent/169540064.pdf |
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