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AI in Motion Picture Production
AI in Motion Picture Production
Dr. Flip Phillips
Professor, School of Film and Animation
School or Art and Design
Rochester Institute of Technology
Cinematography encompasses a wide range of parameters that can be manipulated through various means. Traditionally, these parameters were controlled by physical hardware, chemistry, and optics. WIth computer graphics, nearly limitless control over cinematography becomes available, appearing ideal but often abused to the extent that the resulting work can be an incoherent, atonal composition that may be innovative but is generally lost among the vast possibilities. Sometimes, even worse, it serves merely as an end in itself. To address this, we explore how image manipulation across various aspects of cinematography and beyond will shape the future of live-action production and storytelling. We envision a future of cinematography that employs machine learning and artificial intelligence pragmatically, not as a substitute for the creative and expressiv skills of the humans involved.
My research and teaching focuses on human perception of materials, 3D shape, and motion — mainly through vision and touch.
My background includes undergraduate training in architecture, design, and computer graphics at The Computer Graphics Research Group of The Ohio State University; user interface and medical imaging research and development at OSU and Pixar; animation and technical direction at Pixar Animation Studios1; graduate training in environment and behavior, cognitive science, mathematical modeling and vision science at OSU; and teaching in computer graphics, computational methods, psychology, and neuroscience at OSU, Skidmore College and the Rochester Institute of Technology. IEEE recently recognized the work that Dr. Phillips and his colleagues at Pixar contributed to society with an IEEE Milestone Award
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- Co-sponsored by IEEE Binghanton Section, IEEE Buffalo Section, IEEE Ithaca Section, IEEE Rochester Section, IEEE Syracuse Section & Signal Processing Chapters thereof
- Starts 13 November 2025 02:45 PM UTC
- Ends 21 November 2025 01:00 AM UTC
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