Network visualization retargeting
Network visualization retargeting
复制标题
网络可视化重定向
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Fabrizio Montecchiani
中科院分区：
文献类型：
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作者：
E. D. Giacomo;W. Didimo;G. Liotta;Fabrizio Montecchiani
各种移动设备令人印象深刻且无处不在的增长使人们能够快速访问和共享各种各样的多媒体内容。这些设备提供了一组异构的显示功能，具有几种类型的分辨率级别和屏幕尺寸。这种情况通常需要使显示的图像适应不同屏幕的长宽比，而不会丢失显著的视觉信息，并避免由简单的均匀缩放技术产生的令人不满意的失真效果。该问题通常被认为是内容感知的图像重定向问题，自2003年以来得到了广泛的研究。我们研究了网络可视化重定位问题，这是内容感知图像重定位问题的一个专门化，它代表了网络图；我们描述了两种不同的算法，并提出了一项实验研究的结果，比较了它们的性能。
The impressive and pervasive growth of different mobile devices allows people to quickly access and share a large variety of multimedia contents. These devices offer a heterogeneous set of display capabilities, with several types of resolution levels and screen sizes. This scenario often requires to adapt the displayed images to the aspect ratio of the different screens, without loosing salient visual information and avoiding the unsatisfactory distortion effect produced by a straightforward uniform scaling technique. This problem is usually recognized as the content-aware image retargeting problem, and has been widely studied since 2003. We study the network visualization retargeting problem, a specialization of the content-aware image retargeting problem to diagrams that represent networks; we describe two different algorithms and present the results of an experimental study that compares their performance.