Learning and Applying Color Styles From Feature Films

被引:4
作者
Xue, S. [1 ,2 ]
Agarwala, A. [2 ]
Dorsey, J. [1 ]
Rushmeier, H. [1 ]
机构
[1] Yale Univ, New Haven, CT 06520 USA
[2] Adobe Syst Inc, San Jose, CA USA
关键词
I; 4; 10 [Image Processing and Computer Vision]: Image RepresentationStatistical; CLASSIFICATION; PREFERENCE; EMOTIONS;
D O I
10.1111/cgf.12233
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Directors employ a process called color grading to add color styles to feature films. Color grading is used for a number of reasons, such as accentuating a certain emotion or expressing the signature look of a director. We collect a database of feature film clips and label them with tags such as director, emotion, and genre. We then learn a model that maps from the low-level color and tone properties of film clips to the associated labels. This model allows us to examine a number of common hypotheses on the use of color to achieve goals, such as specific emotions. We also describe a method to apply our learned color styles to new images and videos. Along with our analysis of color grading techniques, we demonstrate a number of images and videos that are automatically filtered to resemble certain film styles.
引用
收藏
页码:255 / 264
页数:10
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