ClipSense: AI Video Analysis & Storytelling
AI-powered video analysis tool that detects objects, persons, and events to generate contextual summaries and stories from raw footage.
The Challenge
Video editors and content creators spend countless hours reviewing raw footage to extract meaningful insights. The client needed an AI-driven system that could automatically analyze video content, detect key elements, and generate contextual summaries with minimal manual input.
Our Approach
We built ClipSense — an intelligent video analysis platform combining Google's AI services with a refined human-in-the-loop workflow.
Video Intelligence
Google Video Intelligence API analyzes video content, enabling object and person detection with high accuracy. This automated analysis eliminates the need for manual tagging.
AI Contextualization
Google Gemini establishes relationships between detected objects and persons, recognizes events, and determines locations. This AI-powered layer provides meaningful insights beyond simple detection.
Iterative Refinement
Users can review and refine detected data, eliminating false detections before generating the final contextual summary. This iterative approach ensures high accuracy and relevance.
Video Preprocessing
FFmpeg pre-processes videos by filtering based on length, size, and codecs, and downscales to 720p for optimal performance without compromising quality.
Technical Stack
- AI: Google Video Intelligence API, Google Gemini
- Video Processing: FFmpeg, OpenCV
- Frontend: React
- Backend: FastAPI
- Database: MongoDB
Results
- Automated video analysis transforming raw footage into contextual stories
- Dramatically streamlined video editing and content curation process
- High-accuracy object, person, event, and location detection
- Scalable architecture supporting concurrent video processing