Learning and Applying Color Styles From Feature Films
| dc.contributor.author | Xue, Su | en_US |
| dc.contributor.author | Agarwala, Aseem | en_US |
| dc.contributor.author | Dorsey, Julie | en_US |
| dc.contributor.author | Rushmeier, Holly | en_US |
| dc.contributor.editor | B. Levy, X. Tong, and K. Yin | en_US |
| dc.date.accessioned | 2015-02-28T16:12:40Z | |
| dc.date.available | 2015-02-28T16:12:40Z | |
| dc.date.issued | 2013 | en_US |
| dc.description.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. | en_US |
| dc.description.seriesinformation | Computer Graphics Forum | en_US |
| dc.identifier.issn | 1467-8659 | en_US |
| dc.identifier.uri | https://doi.org/10.1111/cgf.12233 | en_US |
| dc.publisher | The Eurographics Association and Blackwell Publishing Ltd. | en_US |
| dc.subject | I.4.10 [Image Processing and Computer Vision] | en_US |
| dc.subject | Image Representation | en_US |
| dc.subject | Statistical | en_US |
| dc.title | Learning and Applying Color Styles From Feature Films | en_US |