Imagine you run a small video production company and need software that can automatically track objects, adjust lighting, or check video quality — but every vendor locks you into their expensive system and you can't even try before you buy. ProCAMS built an online marketplace — like an app store — where video analytics tools from many developers sit side by side. You upload your own footage, test any tool directly, compare results, and only pay for what works. If nothing fits, you can even request a custom-built solution through the platform.
Video production companies — especially SMEs that make up 85% of the creative industry — spend too much on manual video processing and are locked into expensive, proprietary analytics tools from single vendors. The video analytics market itself is fragmented: tools are overpriced, incompatible with each other, and impossible to test before committing. This kills interoperability and creates massive inefficiency across the entire content creation value chain.
A web-based video analytics repository (marketplace) where content creators can browse, test with their own footage, and purchase video analytics tools from multiple vendors — finalized and ready for commercial operation (D3.2). The platform was demonstrated through 8 pilot use cases including automatic quality control for OTT video, 360 immersive media tracking, dynamic lighting, mood surveying, video clustering, and perspective reconstruction.
If you are a video production company spending heavily on manual post-production work — this project built a web repository where you can test and compare video analytics tools using your own footage before buying. The platform was piloted in 8 use cases including OTT video production with automatic quality control, demonstrating how SMEs representing 85% of the creative industry can cut content production costs.
If you are a creative agency dealing with rising video production costs and vendor lock-in for analytics tools — this project developed an open web marketplace with transparent pricing and side-by-side tool comparison. The repository was finalized and ready for commercial operation, covering tools for automatic tracking, dynamic lighting, and perspective reconstruction.
If you are a video analytics developer struggling to reach content creators in a fragmented market — this project created a shared web repository where you can list your tools and let potential customers test them with real footage. With 10 partners across 6 countries and 9 SMEs in the consortium, the platform was designed to aggregate a large number of analytics solutions and match them with buyer needs.
The project developed a business model for commercial operation beyond the project's duration (as stated in the objectives). Specific pricing details are not available in the project data. The platform was designed to reduce costs for SMEs by replacing expensive vendor-locked solutions with transparent, testable alternatives.
The platform was piloted across 8 use cases including OTT video production with automatic quality control tools, cooking show broadcasts, 360 immersive media, and dynamic lighting applications. Deliverable D3.2 confirms the web repository was finalized and ready for commercial operation, suggesting it was built for production-grade workloads.
The consortium of 10 partners across 6 countries developed the platform, with Fraunhofer as coordinator. Individual video analytics tools listed on the platform remain the IP of their respective developers. Based on available project data, the repository itself was designed as a commercial marketplace, but specific licensing terms are not documented in the deliverables.
The project ended in November 2016. Deliverable D3.2 delivered a repository 'finalized and ready for commercial operation,' and the project explicitly aimed to develop a business model for post-project sustainability. Current operational status would need to be verified with the coordinator.
The platform was designed to fit into typical video content production workflows. Pilots demonstrated integration with OTT video production, immersive 360 media, and broadcast scenarios. The clustering tool (D4.4) and automatic tracking solutions (D4.3) were specifically tested for compatibility with real production environments.
The project piloted automatic quality control for OTT video (D4.1), user-centered cooking show production (D4.2), automatic tracking for 360 immersive media (D4.3), video clustering (D4.4), mood surveying (D4.5), dynamic lighting (D4.6), and perspective reconstruction (D4.7). All were supported by the central video analytics repository.
This is a strongly industry-driven consortium with 9 out of 10 partners being SMEs and a 90% industry ratio — one of the highest you'll see in EU projects. Fraunhofer, Germany's leading applied research organization, coordinates the effort, lending credibility and technical depth. The 6-country spread (Belgium, Germany, Hungary, Italy, Portugal, Sweden) covers major European media markets. With zero universities and only one research organization, this project was clearly built to deliver a commercial product, not publish papers. The heavy SME presence means the tools and platform were shaped by companies that actually produce video content and build analytics software for a living.
Fraunhofer Gesellschaft (Germany) — reach out to the media/video analytics division for current status of the repository platform.
Want to know if this video analytics marketplace is still active or if the technology was spun off? SciTransfer can connect you with the right people at Fraunhofer and the consortium SMEs.
