New AI Landmark Detection Feature From Newsbridge

AI company Newsbridge has announced a cutting-edge new AI landmark detection capability for indexing and searching media assets.

Available on Newsbridge’s Just Index, Cloud Media Hub, Media Marketplace, and Live Asset Manager solutions, the new location-based search feature enables producers, journalists, and media managers to pull up video sequences of known and lesser-known landmarks (i.e., the White House, Niagara Falls, London city skyline, etc.), including aerial shots, in less than two seconds.

Newsbridge’s AI indexing technology fuels speedier news and sports production for leading media organizations, broadcasters, TV channels, and sports rights holders. Adding the landmark detection feature to Newsbridge’s world-class, Multimodal AI indexing and search technology allows users to detect a variety of entities in media assets — including location, people, logos, objects, patterns, speech, and scenes. Newsbridge’s search technology is intuitive and easy to use, offering journalists and producers an experience similar to searching on the web.

Media managers can use Newsbridge’s AI landmark detection feature for a wide range of use cases, including selling landmark clips and aerial shots to potential buyers, discovering familiar sights within existing video content to enrich their archive, storing indexed results in a dedicated search engine, and running AI indexing on live streams to optimize search, clip creation, and the delivery of recordings to Media Asset Management and third-party storage systems.

Newsbridge will showcase its new AI landmark detection feature at the 2023 NAB Show.

You might also like...

An Introduction To Network Observability

The more complex and intricate IP networks and cloud infrastructures become, the greater the potential for unwelcome dynamics in the system, and the greater the need for rich, reliable, real-time data about performance and error rates.

Designing IP Broadcast Systems: Part 3 - Designing For Everyday Operation

Welcome to the third part of ‘Designing IP Broadcast Systems’ - a major 18 article exploration of the technology needed to create practical IP based broadcast production systems. Part 3 discusses some of the key challenges of designing network systems to support eve…

What Are The Long-Term Implications Of AI For Broadcast?

We’ve all witnessed its phenomenal growth recently. The question is: how do we manage the process of adopting and adjusting to AI in the broadcasting industry? This article is more about our approach than specific examples of AI integration;…

Next-Gen 5G Contribution: Part 2 - MEC & The Disruptive Potential Of 5G

The migration of the core network functionality of 5G to virtualized or cloud-native infrastructure opens up new capabilities like MEC which have the potential to disrupt current approaches to remote production contribution networks.

Standards: Part 8 - Standards For Designing & Building DAM Workflows

This article is all about content/asset management systems and their workflow. Most broadcasters will invest in a proprietary vendor solution. This article is designed to foster a better understanding of how such systems work, and offers some alternate thinking…