Tech Papers 2021: This paper details NHK's "Face Detector," a real-time face recognition system for live broadcasting that can identify individuals and superimpose their names, even with masks or from various angles, using an AI model trained on just one image per person.
Abstract
We have developed a real-time face recognition system, Face Detector, that identifies and displays the names of people appearing in an input video stream. The detector has been developed for use in such broadcasting operations as providing...
Exclusive Content
This article is available with a Technical Paper Pass
.jpg)
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.
.jpg)
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.
.jpg)
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.
.jpg)
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.
Registered users only: Login