Operation and Workflow
Sports content is ingested into the system from various sources.
Computer vision algorithms analyze the video to identify key events and players.
NLP models generate metadata and tags based on commentary and contextual information.
Content is archived with rich metadata, enabling efficient search and retrieval.
Key Functionalities
Automated Content Tagging
Develop computer vision models to identify and tag key events and players. Use NLP to generate contextual metadata from audio commentary.
Intelligent Metadata Generation
Implement AI algorithms to create detailed metadata for each archived content. Enhance searchability with descriptive tags and categories.
Historical Data Analysis
Analyze archived content for trends and insights using machine learning. Provide analytics dashboards to visualize historical performance and key events.
Enhanced Search Capabilities
Develop advanced search functionalities to retrieve specific moments quickly. Use NLP for natural language search queries.