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Tech Papers 2026: This paper applies Judea Pearl’s causal theory to AI-assisted editing, proposing a framework that treats the cut as a deliberate causal intervention to help AI understand narrative intent and support creative decision-making.
Abstract
As AI video tools advance from simple automation to agentic control, the industry faces a critical "Narrative Gap": models can map surface-level patterns, but they cannot reason about the structural intent behind an edit sequence.
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Evolving the codec: Modern video delivery with AV2
Tech Papers 2026: This paper examines AV2, a next-generation video codec designed to improve compression efficiency while supporting a wider range of use cases.
Osmia VP: A low-cost, field-deployable virtual production system for in-camera VFX
Tech Papers 2026: This paper examines a low-cost virtual production system designed to make in-camera VFX more accessible to mid- and low-budget productions using commodity hardware.
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Implementing a single-player multiview solution
Tech Papers 2026: This paper examines four approaches to multiview delivery, comparing their flexibility, efficiency, and scalability before exploring the benefits of single-decoder operation.
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Agentic AI for smart TV QA: A production field study across multiple platforms and languages
Tech Papers 2026: This paper examines how agentic AI can expand Smart TV test coverage by overcoming the maintenance limits of conventional automation in a constantly changing environment.
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Video-only camera pose estimation for sports broadcast graphics using venue-aware deep learning
Tech Papers 2026: This paper presents a video-only camera pose estimation framework that eliminates the need for dedicated tracking hardware.