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兴趣的焊缝图像
Interest Seam Image |
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| 课程网址: |
http://videolectures.net/cvpr2010_hua_isi/
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| 主讲教师: |
Gang Hua
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| 开课单位: |
诺基亚公司
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| 开课时间: |
2010-07-19
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| 课程语种: |
英语
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| 中文简介: |
我们提出了兴趣接缝图像, 一个有效的视觉概要的视频。为了提取感兴趣的接缝图像, 构造了目标视频拍摄的时空能量图。然后用一种有效的动态规划算法确定了包含最高能量的最优接缝。利用最优接缝从每个视频帧中提取一个像素的接缝, 形成图像的一列, 并在此基础上最终合成感兴趣的接缝图像。兴趣接缝图像在计算和内存成本方面都是有效的。因此, 它能够为各种网络规模的视频内容分析应用提供动力, 如近重复视频剪辑搜索、视频类型识别和分类, 以及视频聚类等。在大规模视频检索任务中, 证明了所提出的兴趣接缝图像的表示能力。正如我们实验中所报道的那样, 与以前的作品相比, 它的优点得到了明确的展示。
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| 课程简介: |
We propose interest seam image, an efficient visual synopsis for video. To extract an interest seam image, a spatiotemporal energy map is constructed for the target video shot. Then an optimal seam which encompasses the highest energy is identified by an efficient dynamic programming algorithm. The optimal seam is used to extract a seam of pixels from each video frame to form one column of an image, based on which an interest seam image is finally composited. The interest seam image is efficient both in terms of computation and memory cost. Therefore it is able to power a wide variety of web-scale video content analysis applications, such as near duplicate video clip search, video genre recognition and classification, as well as video clustering, etc.. The representation capacity of the proposed interest seam image is demonstrated in a large scale video retrieval task. Its advantages are clearly exhibited when compared with previous works, as reported in our experiments.
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| 关 键 词: |
计算机科学; 计算机视觉; 图像与视频检索
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| 课程来源: |
视频讲座网
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| 最后编审: |
2020-06-26：cxin
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| 阅读次数: |
54
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