automatic browsing of large pictures on mobile devices
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.
automation browse mobile device mobile communication technologies paper scroll navigation minimal user interaction imaging imaging attention model attention model informal structure optimality browsing path human behavior experimentation evaluation effect display adaptive content delivery image adaptation form factor image information foraging