论文标题
DectutterCam：一种带有混乱检测和去除的摄影助手系统
DeclutterCam: A Photographic Assistant System with Clutter Detection and Removal
论文作者
论文摘要
照片将摄影师的故事传达给观众。但是，这种讲故事的摄影方面很容易被视觉混乱分散注意力。在一项试点研究的情况下，我们确定了业余爱好者经常在照片中包含的混乱。因此，我们受到启发开发DestutterCam，这是一种摄影助理系统，结合了新颖的用户互动和用于摄影整理的AI算法。杂物元素通过美学质量评估算法检测到，并突出显示，以便用户可以交互性地识别分心的元素。一种基于GAN的迭代杂物去除工具使用户可以实时测试他们的照相想法。与32个摄影初学者的用户研究表明，我们的系统提供了灵活的接口，准确的算法和即时反馈，使用户可以避免混乱并探索更多的摄影想法。摄影专家的评估表明，用户可以拍摄更高质量的照片，以更好地使用我们的系统传达预期的故事。
Photographs convey the stories of photographers to the audience. However, this story-telling aspect of photography is easily distracted by visual clutter. Informed by a pilot study, we identified the kinds of clutter that amateurs frequently include in their photos. We were thus inspired to develop DeclutterCam, a photographic assistant system that incorporates novel user interactions and AI algorithms for photographic decluttering. Clutter elements are detected by an aesthetic quality evaluation algorithm and are highlighted so that users can interactively identify distracting elements. A GAN-based iterative clutter removal tool enables users to test their photographic ideas in real-time. User studies with 32 photography beginners demonstrate that our system provides flexible interfaces, accurate algorithms, and immediate feedback that allow users to avoid clutter and explore more photographic ideas. Evaluations by photography experts show that users can take higher-quality photos that better convey the intended story using our system.
