AI-Powered Video Trimmer for Sports Broadcasting
AI Video Trimmer

AI-Powered Video Trimmer for Sports Broadcasting

Telesto Technologies developed an AI-powered Video Trimmer to intelligently process full-length recordings of sporting events—starting with fencing—and generate condensed, high-impact highlight reels. The tool is designed to detect and eliminate non-action segments like pre-game setup, pauses, commentary, and commercial breaks, ensuring a focused and uninterrupted viewing experience.

Project Summary

Industry:

Media & Entertainment / Sports Tech

Project Duration:

5 Months

Services Delivered:

AI/ML model development, video processing pipeline, content curation, UI/UX design

Technology Stack:

Python, OpenCV, FFmpeg, TensorFlow, Google Cloud Video Intelligence API, REST APIs, ReactJS

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Challenge

The client faced several challenges related to the manual editing and curation of sports video content:

Time-consuming video review and editing processes.

Viewers dropping off due to prolonged non-action segments.

Difficulty scaling to support multiple sports or high video volumes.

Need for a smart, automated solution to generate engaging highlight content without human intervention.

Solution

Telesto implemented a machine learning-driven video processing system that performs real-time content analysis and intelligent segment trimming. Key capabilities include:

Action Detection Engine

  • Integrated AI models trained to detect periods of active gameplay vs. non-action (e.g., fencing bouts vs. setup or breaks).
  • Fine-tuned for fencing footage using labeled datasets and custom rules.
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Automated Trimming Workflow

  • Developed a pipeline using OpenCVand FFmpeg to clip non-essential segments.
  • Google Cloud Video Intelligence API used for scene detection and metadata tagging.
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Interactive Interface

  • Admin UI for reviewing, adjusting, and approving final edits before publishing.
  • Timeline visualizations to mark key action moments.
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Deployment & Scalability

Containerized video processing jobs for scalability and future support for other sports like boxing, judo, and wrestling.

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Results

Cost

Cost Savings Time Saved

85

%

Faster Calculations

60

%

Engineering-Efficiency

30

%

Waste Reduction

  • 70% reduction in editing time for sports highlight videos.
  • 100% increase in viewer engagement, as reported in post-launch analytics.
  • Faster time-to-publish for sporting event videos, allowing same-day highlights.
  • Laid the foundation for multi-sport expansion with modular AI logic.

 

Client Feedback

“This project gave us a competitive edge in delivering premium sports content. Viewers now get straight to the action—and love it.”
— Head of Digital Media Operations

 

Conclusion

The AI-Powered Video Trimmer demonstrates Telesto Technologies’ capabilities in combining machine learning with real-time media processing to solve high-value problems in content delivery. By automating tedious editing tasks and enhancing viewer satisfaction, the project offers a future-ready solution for media platforms aiming to modernize their sports content strategy.

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