Papers
2
Total Citations
7
H-Index
2
About
Seiki Inoue is a leading researcher in automated broadcast production systems, specializing in the intelligent control of multiple robot cameras for television programming. His work addresses the complex challenge of replacing human camera operators with autonomous robotic systems that can capture professional-quality footage in real-time. Inoue’s major contribution lies in developing algorithmic methods for shot determination—defining precise shooting rules that allow robot cameras to automatically select appropriate angles, zooms, and framing based on program context. His most cited paper (2007, 5 citations) introduces a cooperative shooting system where robot cameras dynamically adjust to changes in a program’s situation, while his follow-up work (2009, 2 citations) refines these rules specifically for discussion programs, enabling cameras to track speakers and capture reactions without human intervention. Though his citation counts are modest, Inoue’s research is pioneering in the niche field of robotic cinematography, laying foundational principles for automated TV production. His achievements include developing a system that interprets program flow to make real-time shooting decisions, a critical step toward fully autonomous broadcast studios.
Research Focus
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Top Papers
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