Mavis Camera has announced a new workflow integrating Time Addressable Media Store as part of its Camera to Cloud service (Mavis C2C). An open API developed by BBC R&D, TAMS enables media to be stored and accessed as time addressable chunks, rather than by relying on traditional monolithic files or continuous streams.
Developing the Mavis C2C approach, the beta integration allows media to be progressively uploaded with content able to move reliably over varied or constrained networks, with timing and metadata preserved to enable reconstruction of a coherent timeline downstream. The proof of concept includes a “jump to live” facility, whereby the upload head can jump forward to the latest live material. If network conditions deteriorate and uploads begin to back up, current content is allowed to arrive first, with older queued segments uploaded later. The workflow is well suited to fast turnaround scenarios such as news and events, said the company.
Working across Mavis Camera’s expanding range of supported external inputs, the TAMS integration allows users to connect devices such as the Atomos Ninja Phone or Accsoon SeeMo series to bring in HDMI or SDI sources, while NDI input support enables IP-based video to feed the same TAMS pipeline. Integrating beyond the iPhone’s internal camera, the options position the company as a flexible bridge between mobile, external and networked production workflows.
Patrick Holroyd, CEO of Mavis, said, “This integration shows how cloud-native, fast-turnaround workflows can move from specialist systems onto devices people already own. By connecting Mavis Camera to TAMS, we’re demonstrating a practical way to capture on an iPhone, upload timed media segments in real time, and support editorial workflows without depending on traditional streaming infrastructure.”
BBC R&D, Amazon Web Services (AWS) and other industry partners have positioned TAMS as a framework for fast-turnaround media production built around object storage and open, interoperable APIs. The Mavis beta integration aims to showcase how an iPhone based workflow can contribute to the emerging ecosystem.
