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Video-frame Quality Improvement before Shot boundary Detection by using Logarithm, Wavelet and Contoulet Transform

机译:利用对数,小波和Contoulet变换提高镜头边界检测之前的视频帧质量

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摘要

Video shot boundary detection is important step for the research in the content analysis and retrieval fields. In this paper, firstly we presented an efficient method for Video-frame quality improvement to suppress flash occurred within video frame using logarithm, wavelet and contourlet transform. In addition, wavelet and contourlet transform also performed denoising. Secondly, for shot boundary detection, we used gray-scale histogram differences with edge change ratio. Furthermore, the adaptive threshold algorithm for shot transition detection was proposed. The experiment results showed that using logarithm with contourlet transform gain the precision and recall higher than using logarithm with wavelet transform.
机译:视频镜头边界检测是内容分析和检索领域研究的重要步骤。在本文中,首先,我们提出了一种对数,小波和轮廓波变换来提高视频帧质量的有效方法,以抑制视频帧中发生的闪烁。另外,小波和轮廓波变换也执行去噪。其次,对于镜头边界检测,我们使用灰度直方图差异和边缘变化率。此外,提出了用于镜头过渡检测的自适应阈值算法。实验结果表明,与使用小波变换的对数相比,结合使用Contourlet变换对数可以获得更高的精度和查全率。

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