Realtime Sports Highlights Generation System for Enhanced Content Monetization

The client faces challenges in scaling the monetization of live sports content due to manual highlights generation processes, which are time-consuming, error-prone, and costly. There is a need to automate highlight detection and compilation to support real-time distribution, enhance viewer engagement, and optimize production costs.

A large media rights holder or sports broadcaster seeking to automate and optimize highlights creation and distribution for live sports events.

• Reduce video processing time by approximately 70%, enabling faster content turnaround.
• Achieve at least 90% accuracy in detecting key highlight moments such as goals, fouls, and penalties.
• Support live stream highlights processing with a delay as low as 10 seconds for near real-time publication.
• Enhance fan engagement by enabling rapid production and dissemination of highlight reels during and after matches.
• Lower production costs by automating content moderation, scene recognition, and highlight compilation workflows.
• Facilitate multi-platform content delivery, including integration with popular video hosting services to expand distribution channels.
• Automatically identify optimal ad insertion points within highlight content to maximize monetization.

• Real-time detection of over 15 activity types, including goals, fouls, red cards, and replay-worthy moments.
• Advanced facial and gear recognition for identifying specific players during match highlights.
• Configurable filters for activity types, players, teams, and match periods.
• Intelligent filtering to automatically exclude irrelevant scenes such as advertisements or non-highlight segments.
• Fast highlight compilation with processing speeds up to 3.2 times faster than traditional methods.
• Live stream processing with minimal delay (approx. 10 seconds).
• Automated scene categorization and replays detection to enhance highlight quality.
• Ability to manually adjust filter parameters and highlight criteria post-processing.
• Auto-upload and distribution support to platforms like YouTube, Vimeo, and Dailymotion.
• Integration of smart ad placement within highlight reels based on scene analysis.

• Video hosting platforms (e.g., YouTube, Vimeo, Dailymotion) for direct upload
• Live broadcasting feeds for real-time analysis
• Content management systems to facilitate workflow integration
• Advertising platforms for dynamic ad insertions
• Authentication and user management systems

• Support for real-time processing with latency up to 10 seconds
• System scalability to handle multiple concurrent streams with high availability
• Achieve over 90% accuracy in key moment detection
• Processing speeds exceeding 3 times faster than manual workflows
• Robust security measures for data protection, access control, and content integrity
• Ease of configuration and manual override capabilities

Implementing the automated sports highlights system is expected to reduce video processing times by approximately 70%, improve highlight detection accuracy to over 90%, and accelerate footage generation speed by 70%. These improvements will enable the client to enhance fan engagement through rapid content delivery, increase monetization opportunities by timely ad placements and content availability, and significantly lower operational costs by automating manual workflows, thereby supporting more scalable and efficient sports content distribution.