| VIDEO OBJECT SEGMENTATION BY 2-D MESH-BASED MOTION ANALYSIS |
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| 作者姓名： | Wang Yujian Gao Jianpo Yang Hao Wu Zhenyang |
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| 作者单位： | School of Information Science and Engineering，Southeast University，Nanjing 210096，China |
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| 基金项目： | Supported by the National Natural Science Foundation of China (No.60672094). |
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| 摘 要： | Video object extraction is a key technology in content-based video coding.A novel video object extracting algorithm by two Dimensional (2-D) mesh-based motion analysis is proposed in this paper.Firstly,a 2-D mesh fitting the original frame image is obtained via feature detection algorithm. Then,higher order statistics motion analysis is applied on the 2-D mesh representation to get an initial motion detection mask.After post-processing,the final segmenting mask is quickly obtained.And hence the video object is effectively extracted.Experimental results show that the proposed algorithm combines the merits of mesh-based segmenting algorithms and pixel-based segmenting algorithms,and hereby achieves satisfactory subjective and objective performance while dramatically increasing the segmenting speed.
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| 关 键 词： | 视频 对象分析 2-D 网孔 统计学 |
| 收稿时间： | 28 July 2006 |
| 修稿时间： | 2006-07-28 |
Video object segmentation by 2-D mesh-based motion analysis |
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| Wang Yujian Gao Jianpo Yang Hao Wu Zhenyang.VIDEO OBJECT SEGMENTATION BY 2-D MESH-BASED MOTION ANALYSIS[J].Journal of Electronics,2007,24(5):668-673. |
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| Authors: | Yujian Wang Jianpo Gao Hao Yang Zhenyang Wu |
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| Affiliation: | School of Information Science and Engineering, Southeast University, Nanjing 210096, China |
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| Abstract: | Video object extraction is a key technology in content-based video coding.A novel video object extracting algorithm by two Dimensional (2-D) mesh-based motion analysis is proposed in this paper.Firstly,a 2-D mesh fitting the original frame image is obtained via feature detection algorithm. Then,higher order statistics motion analysis is applied on the 2-D mesh representation to get an initial motion detection mask.After post-processing,the final segmenting mask is quickly obtained.And hence the video object is effectively extracted.Experimental results show that the proposed algorithm combines the merits of mesh-based segmenting algorithms and pixel-based segmenting algorithms,and hereby achieves satisfactory subjective and objective performance while dramatically increasing the segmenting speed. |
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| Keywords: | Video object extraction 2-D mesh Higher order statistics |
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