ABSTRACT

We introduce a semantically-enriched method of generating color schemes for various types of digital maps that reduces the energy consumption of the display device while preserving the quality of the original design. Energy-aware design intersects two important trends in cartography. First, as more maps are viewed today on mobile, battery life has become a central constraint influencing design. Second, there is increasing need for green computing, which encourages the efficient use of energy to limit environmental impacts. This paper focuses on one important aspect of energy-aware cartography: color design. Existing research on energy-aware color adjustment methods apply broadly to images or websites. However, the colors used in maps have more structured semantic relationships than most documents viewed on mobile devices, and efforts to account for these relationships while reducing energy consumption are limited. To fill this gap, we mathematically formalize energy-aware map-color adjustment as a constrained optimization problem: we define energy consumption as the objective function and model the preservation of semantic relationships as the search constraints. We evaluate our proposed method against a common color dimming method using four maps with different semantic relationships. The evaluation suggests that our proposed method better preserves the original color semantics.

摘要

我们介绍了一种语义丰富的方法，可为各种类型的数字地图生成配色方案，该方法可在保持原始设计质量的同时减少显示设备的能耗。节能设计与制图学的两个重要趋势相交。首先，随着当今在移动设备上查看更多地图，电池寿命已成为影响设计的主要限制因素。其次，对绿色计算的需求不断增长，这鼓励了能源的有效利用以限制环境影响。本文着重于能源意识制图的一个重要方面：色彩设计。现有的关于节能的色彩调节方法的研究广泛应用于图像或网站。但是，与大多数在移动设备上查看的文档相比，地图中使用的颜色具有更结构化的语义关系，在减少能耗方面考虑这些关系的努力是有限的。为了填补这一空白，我们在数学上将能源意识的地图颜色调整形式化为一个约束优化问题：我们将能耗定义为目标函数，并将保留语义关系建模为搜索约束。我们使用四种具有不同语义关系的图，针对一种常见的颜色调光方法评估了我们提出的方法。评估表明，我们提出的方法可以更好地保留原始的颜色语义。我们将能耗定义为目标函数，并将保留语义关系的模型建模为搜索约束。我们使用四种具有不同语义关系的图，针对一种常见的颜色调光方法评估了我们提出的方法。评估表明，我们提出的方法可以更好地保留原始的颜色语义。我们将能耗定义为目标函数，并将保留语义关系的模型建模为搜索约束。我们使用四种具有不同语义关系的图，针对一种常见的颜色调光方法评估了我们提出的方法。评估表明，我们提出的方法可以更好地保留原始的颜色语义。