论文标题
美学语言指导图像使用属性比较
Aesthetic Language Guidance Generation of Images Using Attribute Comparison
论文作者
论文摘要
随着移动摄影技术的迅速发展，主要的手机制造商正在争先恐后地提高设备的拍摄能力和软件的照片美化算法。但是，智能设备和算法的改进不能取代人类的主观摄影技术。在本文中，我们提出了图像的美学语言指导（ALG）。根据指导规则是基于摄影模板还是指导图像，我们将ALG分为ALG-T和ALG-I。无论是ALG-T还是ALG-I，我们都会从三个色彩，照明和图像组成的属性中指导摄影。输入图像和摄影模板或指导图像之间的三个属性的差异用自然语言描述，即审美自然语言指导（ALG）。另外，由于景观图像和肖像图像之间的照明和组成差异，我们将输入图像分为景观图像和肖像图像。 ALG-T和ALG-I分别针对两种输入图像（景观图像和肖像图像）进行美学指导。
With the vigorous development of mobile photography technology, major mobile phone manufacturers are scrambling to improve the shooting ability of equipments and the photo beautification algorithm of software. However, the improvement of intelligent equipments and algorithms cannot replace human subjective photography technology. In this paper, we propose the aesthetic language guidance of image (ALG). We divide ALG into ALG-T and ALG-I according to whether the guiding rules are based on photography templates or guidance images. Whether it is ALG-T or ALG-I, we guide photography from three attributes of color, lighting and composition of the images. The differences of the three attributes between the input images and the photography templates or the guidance images are described in natural language, which is aesthetic natural language guidance (ALG). Also, because of the differences in lighting and composition between landscape images and portrait images, we divide the input images into landscape images and portrait images. Both ALG-T and ALG-I conduct aesthetic language guidance respectively for the two types of input images (landscape images and portrait images).
