Year: 2025
Type: article
Abstract: This project focuses on creating a "Video Summarizer" that leverages advanced technologies to generate concise summaries and visual previews of videos. The process begins by converting the video input into audio using Python libraries such as MoviePy, Speech Recognition. The audio is then transcribed into text, which is summarized using the Google Gemini API to produce clear and succinct summaries. Additionally, the system generates visual previews of the video by extracting text using Pytesseract and applying structural similarity metrics to identify key frames, offering a visual snapshot of the content. The project includes a Flask-based backend and a user-friendly interface built with HTML, CSS, and JavaScript. The backend is powered by Node.js and Express to handle API requests. This integrated approach enables users to quickly understand the essence of video content while preserving its visual context, making it an invaluable tool for viewers with limited time and content analysts.
Author: Hanzala Ahmed
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408173975