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Detecting Interesting Regions in Photographs - How Metadata Can Help

机译：检测照片中有趣的区域-元数据如何提供帮助

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摘要

Photographs, which are taken by human beings with creative thinking, may significantly differ from the images that are taken by a surveillance camera or a visual sensor on a robot. Human being intentionally shoot a photograph to express his/her feeling or photo-realistically record a scene by adjusting two factors: the parameters setting of a camera and the position between the camera and the object which he or she is interested in. Based on these observations, a graph model based stochastic method is used to discover the pattern of how people taking photos, so that the interesting regions of the images can be determined automatically. Both the visual features of the images and the camera metadata parameters are simultaneously taken into considered. Experimental evaluation on over 7000+ photos taken by 200+ different models of cameras with variety of interests has shown the robustness of our techniques.
机译：具有创造性思维的人类所拍摄的照片可能与监控摄像头或机器人上的视觉传感器所拍摄的图像明显不同。人们通过调整两个因素来有意拍摄照片来表达自己的感觉或真实地记录场景：相机的参数设置以及相机与他或她感兴趣的物体之间的位置。观察时，使用基于图模型的随机方法来发现人们拍照的方式，从而可以自动确定图像的有趣区域。同时考虑图像的视觉特征和相机元数据参数。对200多种感兴趣的不同型号的相机拍摄的7000多张照片进行的实验评估表明，我们的技术非常可靠。

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