Ensuring brand color accuracy on-screen: An AI-based solution
Companies spend significant money defining and protecting brand assets including their defined color palette. Consumers know Coca-Cola red and seeing it invokes a planned response. Repetition and consistency builds brand recognition with consumers and eventually this becomes equity which translates into loyalty and sales. One area where off-spec brand colors are especially noticeable is sports broadcasting. When their favorite team's colors appear incorrectly, fans are vocal about it. ColorNet is a patent-pending artificial intelligence (AI) technology developed by Clemson University that solves this issue. ColorNet ingests live video, adjusts each frame pixel-by-pixel, and outputs color corrected video in real-time ensuring accurate brand colors with no latency. In this study, ColorNet is demonstrated using Clemson University’s orange, Pantone 165. This presentation will discuss the current process for color correction on digital displays, show a demo of ColorNet, and discuss future implementations of this technology.
Prior to becoming a faculty member at Clemson University, Dr. Walker co-founded a film production company, Galatia Films. Two of her larger projects with Galatia Films, as a producer and cinematographer, included a feature length documentary film and an educational television series for children.
Outside the classroom, Dr. Walker speaks at conferences across the country on topics including classroom and industry implementation of Adobe applications, curriculum development, mixed methods classroom research, the entrepreneurial mindset, game-based learning, color management, branding, and social marketing.
Her current research focuses on the consistency of brand colors across various video inputs on large format screens at live sporting events and classroom research where she works as an instructional designer in partnership with industry-expert, adjunct lecturers.
