Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1111/cgf.12233 | COMPUTER GRAPHICS FORUM |
Keywords | Field | DocType |
I,4,10 [Image Processing and Computer Vision]: Image RepresentationStatistical | HSL and HSV,Computer vision,Grading (education),Computer science,Image representation,Artificial intelligence,Color normalization,Color quantization | Journal |
Volume | Issue | ISSN |
32.0 | 7.0 | 0167-7055 |
Citations | PageRank | References |
7 | 0.42 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Su Xue | 1 | 49 | 3.82 |
| Aseem Agarwala | 2 | 3125 | 178.39 |
| Julie Dorsey | 3 | 2535 | 182.80 |
| Holly Rushmeier | 4 | 2294 | 334.25 |