Codemill Increases QC Support With VidiNet BatonQC

Codemill’s Quality Control (QC) review application, Accurate.Video Validate, now integrates directly with Vidispine’s VidiNet platform automated QC service.

The solution, powered by Interra Systems Baton auto-QC and the VidiCore API from Arvato Systems’ brand Vidispine, is designed for collaborative professional media workflows with time-based metadata in mind.

Stefan Eckardt of Arvato, commented: “Video quality is increasingly important in the world of media and entertainment and this integration will help users to streamline their QC processes.”

The combination of Accurate Video.Validate with VidiCore and the new BatonQC service in VidiNet is essential for reviewing QC reports. It offers visualisation of timecode-based QC metadata on the timeline, as well as the ability to download the Baton QC report in PDF format. This enables QC operators to rapidly determine what to do with media assets failing any kind of quality checks to ensure accuracy and good quality of asset delivery in any media supply chain.

When media files receive a warning, or fail a QC test, VidiCore can notify QC operators, who log in to the Accurate Video.Validate graphical user interface, to inspect the errors and warnings, which are elegantly presented in a timeline view. Operators can also choose to view the native Baton report to obtain even further details. The QC operator can then clear the item for further processing through the workflow, or send it back for re-editing, re-transcoding or fixing.

Neil Anderson, CRO, Codemill, added: “We are delighted to offer this integration to Vidispine users. Working with VidiNet BatonQC means users can access intuitive and user-friendly QC tools to view the results. Operators can rapidly ensure the quality, compliance, and playability of audio and video before delivery. Accurate.Video was created to enrich workflows, and this latest integration with Vidispine delivers an enhanced automated QC solution.”

You might also like...

Why AI Won’t Roll Out In Broadcasting As Quickly As You’d Think

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;…

Designing IP Broadcast Systems: Integrating Cloud Infrastructure

Connecting on-prem broadcast infrastructures to the public cloud leads to a hybrid system which requires reliable secure high value media exchange and delivery.

Video Quality: Part 1 - Video Quality Faces New Challenges In Generative AI Era

In this first in a new series about Video Quality, we look at how the continuing proliferation of User Generated Content has brought new challenges for video quality assurance, with AI in turn helping address some of them. But new…

Minimizing OTT Churn Rates Through Viewer Engagement

A D2C streaming service requires an understanding of satisfaction with the service – the quality of it, the ease of use, the style of use – which requires the right technology and a focused information-gathering approach.

Designing IP Broadcast Systems: Where Broadcast Meets IT

Broadcast and IT engineers have historically approached their professions from two different places, but as technology is more reliable, they are moving closer.