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Automatic browsing of large pictures on mobile devices

机译:在移动设备上自动浏览大图片

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摘要

Pictures have become increasingly common and popular in mobile communications. However, due to the limitation of mobile devices, there is a need to develop new technologies to facilitate the browsing of large pictures on the small screen. In this paper, we propose a novel approach which is able to automate the scrolling and navigation of a large picture with a minimal amount of user interaction on mobile devices. An image attention model is employed to illustrate the information structure within an image. An optimal image browsing path is then calculated based on the image attention model to simulate the human browsing behaviors. Experimental evaluations of the proposed mechanism indicate that our approach is an effective way for viewing large images on small displays.
机译:图片已经在移动通信中变得越来越普遍和流行。然而,由于移动设备的限制,需要开发新技术以促进在小屏幕上浏览大图片。在本文中,我们提出了一种新颖的方法,该方法能够在移动设备上以最少的用户交互量自动执行大图片的滚动和导航。图像注意力模型用于说明图像内的信息结构。然后基于图像注意力模型计算出最佳的图像浏览路径,以模拟人类的浏览行为。对提出的机制的实验评估表明,我们的方法是在小型显示器上观看大图像的有效方法。

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