Work

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

Year: 2025

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15404181

Authors: Aditya Agarwal, Aditya, Harshit walia, Harshit, Udit sharma, Udit

Language: English

Topic: Video Analysis and Summarization

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6968865277

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