Recognition-difficulty-aware hidden images based on clue-map
Recognition-difficulty-aware hidden images based on clue-map
复制标题
基于线索图的识别难度感知隐藏图像
DOI：
10.1111/cgf.12777
复制
发表时间：
2016
影响因子：
2.5
通讯作者：
Du Hui
中科院分区：
文献类型：
--
作者：
Zhao Y;an;金小刚;Du Hui
隐藏图像包含一个或多个隐藏的前景，这些前景可以在艺术家保存的线索的帮助下被识别。经验丰富的艺术家经过多年的培训，能够熟练地为给定的图像找到合适的隐藏位置。然而，对于业余爱好者来说，当他们试图创建令人满意的隐藏图像时，快速找到这些位置并不是一件容易的事情。在本文中，我们提出了一个互动的框架，建议隐藏的位置和相应的结果。我们的方法所产生的建议的结果是根据他们的识别难度的水平进行排序。为此，我们提出了一种新的方法来评估隐藏图像的识别难度的水平和一个新的隐藏图像的合成方法，考虑到空间的影响，使前景与当地的环境和谐。在合成阶段，我们根据视觉注意模型提取前景的特征作为线索。我们验证了我们的方法的有效性，通过执行两个用户研究，包括隐藏图像的质量和建议的准确性。
Hidden images contain one or several concealed foregrounds which can be recognized with the assistance of clues preserved by artists. Experienced artists are trained for years to be skilled enough to find appropriate hidden positions for a given image. However, it is not an easy task for amateurs to quickly find these positions when they try to create satisfactory hidden images. In this paper, we present an interactive framework to suggest the hidden positions and corresponding results. The suggested results generated by our approach are sequenced according to the levels of their recognition difficulties. To this end, we propose a novel approach for assessing the levels of recognition difficulty of the hidden images and a new hidden image synthesis method that takes spatial influence into account to make the foreground harmonious with the local surroundings. During the synthesis stage, we extract the characteristics of the foreground as the clues based on the visual attention model. We validate the effectiveness of our approach by performing two user studies, including the quality of the hidden images and the suggestion accuracy.