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Estimating cinematographic scene depth in movie shots

机译:估计电影镜头中的摄影场景深度

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In film-making, the distance from the camera to the subject greatly affects the narrative power of a shot. By the alternate use of Long shots, Medium and Close-ups the director is able to provide emphasis on key passages of the filmed scene. In this work we investigate four different inherent characteristics of single shots which contain indirect information about scene depth, without the need to recover the 3D structure of the scene as a prior step. Specifically, 2D scene geometric composition, frame colour properties, shot motion distribution and content are considered for classifying shots into three main categories. In the experimental phase, using SVM classifiers, we first test the ability of each single feature in distinguishing shot types; then we combine the whole feature set in order to improve the classification performance.
机译:在电影摄制中,从相机到拍摄对象的距离极大地影响了镜头的叙事能力。通过交替使用远景,中景和特写镜头,导演可以强调拍摄场景的关键段落。在这项工作中,我们研究了单张镜头的四个不同的固有特性,这些特性包含有关场景深度的间接信息,而无需在先前的步骤中恢复场景的3D结构。具体而言,考虑将2D场景几何构图,帧颜色属性,镜头运动分布和内容用于将镜头分类为三个主要类别。在实验阶段,使用SVM分类器,我们首先测试每个功能在区分镜头类型方面的能力。然后,我们将整个功能集组合在一起,以提高分类性能。

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