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Contribution Details
| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | VIAN – a visual annotation tool for film analysis |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Journal Title | Computer Graphics Forum |
| Publisher | Wiley-Blackwell Publishing, Inc. |
| Geographical Reach | international |
| ISSN | 0167-7055 |
| Volume | 38 |
| Number | 3 |
| Page Range | 119 - 129 |
| Date | 2019 |
| Abstract Text | Color plays a fundamental role in film design and production. Unfortunately, existing solutions for film analysis in the digital humanities address perceptual and spatial color information only tangentially. We introduce VIAN, a visual film annotation system centered on the semantic aspects of color film analysis. The tool enables expert-assessed labeling, curation, visualization, and classification of film color features based on their perceived context and aesthetic quality. Crucially, it is also the first of its kind that incorporates foreground-background information as it is made possible by modern deep learning segmentation methods. The proposed visual front-end is seamlessly integrated with a multimedia data management system, so that films can undergo a full color-oriented analysis pipeline by scholars and practitioners. |
| Free access at | DOI |
| Digital Object Identifier | 10.1111/cgf.13676 |
| Other Identification Number | merlin-id:18059 |
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