Who reached out to us?
The client is a major MAM and media logistics company.
What’s the need?
Scaling soccer content monetization, which required Oxagile to transform the content generation process.
Spending less time on viewing and processing highlights
Streamline content generation processes for time-sensitive assets
Reducing the possibility of content editors being mistaken while using the final product
Cutting the cost of production and monetization activities
Making the solution suitable for both VoD and live content
After two months of work, the team presented a fully working solution, ready to be deployed on the client’s side. The system met all the key requirements and successfully supported the client’s business needs in terms of monetization strategies, engagement opportunities, and cost-to-quality ratio.
How does it work?
Using ML algorithms, the solution analyzes and decomposes soccer matches to automatically generate a precisely tuned compilation of highlights.
What does it detect?
This includes all foul types, red cards, scoreboards, audience reactions, and other replay-worthy moments. It further identifies players based on facial and gear recognition.
Faster footage processing allows producing and publishing multiple compilations during and after the broadcast. As compilations arrive earlier, hardcore fans can stay up to date even with the games happening in parallel.
The highlight generation platform enables video providers to deliver highly anticipated content in the crucial first hours after the match, when the demand for summary and overview videos is at its peak.
Using smart replay detection technology, the solution is able to process footage and create highlight compilations up to 3.2 times faster. As soon as the match has ended, all processed highlights become available to the editors for a more in-depth scene categorization.
Let us be your star trainer.
The final product has been delivered within budget and on schedule, ready for launch in the client’s digital ecosystem.
By bringing intelligent automation into the equation, the client’s team has been able to slash the effort associated with additional content creation. Beyond these gains, the ML-enabled engine has helped the client meet their business goals.