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Learning and Applying Color Styles From Feature Films
被引:5
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.
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页码:255 / 264
页数:10
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