Integrating Big Data and Predictive Analytics for Enhanced Color Grading in Film Post-Production
This review explores integrating big data and predictive analytics in color grading for film and video production. The purpose is to examine how these technologies can enhance consistency, efficiency, and emotional impact in visual storytelling. Key issues addressed include the limitations of traditional color grading methods, such as subjective interpretation and time consumption. The review proposes solutions using data-driven approaches to optimize color grading decisions, ensuring alignment with artistic visions while improving audience engagement. The feasibility of these solutions in discussed in terms of technological advancements and potential barriers. Overall, this review highlights the potential of big data and predictive analytics to revolutionize post-production practices.
Authors
- Menghan Li (ORCID: https://orcid.org/0009-0001-2192-0768)
- Ping Yu (ORCID: https://orcid.org/0000-0002-5430-8006)
Publication Details
- Published
- 2025-06-28
- DOI
- https://doi.org/10.1109/icipca65645.2025.11138279
- Primary Topic
- Color Science and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00