Back to Workflows
Media Production Company Managing Large Video Assets
Company Situation
The company operates within a media production environment, managing workflows related to branded content creation and large video asset handling. Their team includes a lead overseeing digital media production and a select group of power users and contributors who manage different facets of content indexing, archival, and retrieval. The scale of their operation involves ongoing, complex workflows that require secure, efficient access to video archives and active collaboration across multiple platforms.
Existing Workflow
Currently, the company’s production workflow integrates tools such as LucidLink and Frame.io for active content management, while considering Iconik as an archival front runner. Their archival system involves indexing content and storing it in an Amazon S3 Glacier Deep Archive bucket for long-term preservation. The workflow depends heavily on a few strategic users who manage the indexing and retrieval processes, which allows them to recall archived content with a single click. They use encrypted storage with end-to-end security measures, and their active collaboration tools support version control and contributor access.
Issues with the Existing Workflow
The company’s main pain points center around archival efficiency, indexing complexity, and evolving AI-driven content recognition needs. Although Iconik is well understood and currently favored, the company is evaluating alternatives to improve archival workflows and introduce enhanced AI capabilities. They require advanced face recognition technology that is privacy-focused and effective even when subjects wear helmets or other face-obstructing equipment. Additionally, the need for more granular search capabilities within video content — such as subclip identification — and robust watermarking to prevent content leakage are emerging priorities. The company also places emphasis on security features aligned with zero trust principles, ensuring that no third party can access data without explicit authorization.
How Shade Would Change Their Workflow
Shade offers a compelling alternative that integrates seamlessly with the company’s production and archival needs. Shade’s AI-driven facial recognition technology is designed with privacy at its core, enabling private person recognition models that function even with challenging visuals such as helmets. Shade’s upcoming features, including shared cache for networked users, subclip search to pinpoint exact moments within long-form videos, watermarking for content protection, and side-by-side version comparison, directly address the company’s evolving requirements. By adopting Shade, the company can streamline indexing, enhance search precision, and bolster content security without compromising privacy. Shade’s architecture also supports encrypted workflows compatible with zero trust security models, aligning with the company’s rigorous data protection standards.
Benefits
- Advanced private facial recognition that works under challenging conditions
- Improved search capabilities with subclip-level precision within video assets
- Enhanced collaboration via shared cache and multi-version comparison tools
- Robust watermarking to deter unauthorized content distribution
- Seamless integration with existing tools like LucidLink and Frame.io
- Strong encryption and security aligning with zero trust principles
- Simplified archival indexing and retrieval workflows
Technologies Used
Want to see how Shade can improve your workflow?
Book a Demo