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Finding your spot: A photography suggestion system for placing human in the scene

机译:找到你的位置:一个摄影建议系统,用于将人物放置在场景中

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Capturing a professional like photo is always a challenging task, especially for novice users. This paper proposes a photography suggestion approach to assist users to take high visual quality photos with human in the scene. In this research, we first investigate a set of aesthetic composition rules and visual perception principles to construct an aesthetic score prediction model in order to measure visual quality in terms of photo composition. Then we conduct a study on professional photos to define a proper size for the enclosure of human into the picture of a given scene. The proposed approach is able to leverage saliency and geometric detection to represent composition features. Finally, we utilize an efficient hierarchical search to obtain the optimal enclosure for human in the scene. Extensive experiments have been performed for hot spot landmark locations. Through subjective evaluation, the results show that the proposed approach can effectively provide appealing composition recommendation to help users take high quality photos with human in the scene.
机译:捕获像照片这样的专业人士始终是一项艰巨的任务,特别是对于新手用户而言。本文提出了一种摄影建议方法,以帮助用户在场景中与人合影。在这项研究中,我们首先研究了一组美学构图规则和视觉感知原理,以构建美学分数预测模型,以便根据照片构图测量视觉质量。然后,我们对专业照片进行研究,以为将人围成特定场景的图片定义合适的尺寸。所提出的方法能够利用显着性和几何检测来表示合成特征。最后,我们利用有效的分层搜索来获得场景中人的最佳包围物。已经对热点地标位置进行了广泛的实验。通过主观评估,结果表明所提出的方法可以有效地提供吸引人的构图推荐,以帮助用户在场景中与人合影。

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