A Practical Approach to Video Summarization via Frame Differencing and Audio Transcription

This research paper presents a practical approach to video summarization by combining frame differencing and audio transcription. The method uses OpenCV for detecting visual changes, OpenAI Whisper for converting speech to text, and MoviePy for clip generation. By analyzing both visual and audio cues, the system creates short, meaningful summaries from longer videos. The proposed method is efficient, lightweight, and suitable for real-time applications like educational content or meeting recordings.