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Automatic Generation of Subject-Based Image Transitions

机译:自动生成基于主题的图像过渡

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This paper presents a novel approach for the automatic generation of image slideshows. Counter to standard cross-fading, the idea is to operate the image transitions keeping the subject focused in the intermediate frames by automatically identifying him/her and preserving face and facial features alignment. This is done by using a novel Active Shape Model and time-series Image Registration. The final result is an aesthetically appealing slideshow which emphasizes the subject. The results have been evaluated with a users' response survey. The outcomes show that the proposed slideshow concept is widely preferred by final users w.r.t. standard image transitions.
机译:本文提出了一种自动生成图像幻灯片的新颖方法。与标准的淡入淡出相反,该想法是通过自动识别对象并保持脸部和面部特征对齐来操作对象的图像过渡,从而将其聚焦在中间帧中。这是通过使用新颖的Active Shape模型和时间序列图像配准来完成的。最终的结果是强调主题的美学吸引力的幻灯片显示。结果已通过用户反应调查进行了评估。结果表明,建议的幻灯片放映概念受到最终用户的广泛青睐。标准图像过渡。

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