Tech Papers 2019: This paper proposes a method to evaluate multi-camera capture and view-synthesis quality for 6DoF AR/VR by comparing ray-traced reference images with depth-estimated synthesized views.
Abstract
Producing live 6DoF video requires video capture with multiple cameras, real-time depth estimation, compression, streaming and playback. All of these components are under development and a ready-made solution is hard to find. To make the right choices during development there is a clear need to be able to predict in advance the effect that system parameters (e.g. baseline) and depth estimation algorithms have on image quality.
Exclusive Content
This article is available with a Technical Paper Pass
Dynamic power control for sustainable broadcast transmitter networks
Tech Papers 2026: This paper proposes an approach that uses predictive modelling in combination with real-time interference monitoring to optimise transmitter powers dynamically, with minimal impact on the consumer.
AI-driven anonymisation that preserves human performance
Tech Papers 2026: This paper presents two AI-driven workflows designed to preserve emotional nuance while ensuring anonymity.
Search first, inspect visually when needed: A multi-agent architecture for semantic video archival retrieval
Tech Papers 2026: This paper introduces Smart Chat, a multi-agent video question-answering system that searches indexed video moments, localizes candidate evidence, and inspects a short clip only when visual verification is needed.
A standardised framework for C2PA provenance in media workflows
Tech Papers 2026: This paper presents the first standardised framework for implementing C2PA for media provenance across newsrooms of varying sizes and operational contexts.
Dynamic streaming content packaging with C2PA
Tech Papers 2026: This paper presents an implementation of the approach adopted by C2PA for live video to dynamic packaging.