AI & ML Enabled Video Analysis and Interpretation

Authors

Vivek Chauhan

B. Tech (CSE) -Final Year Student, Dept Computer Science & Engineering, IIMT College of Engineering, Greater Noida (India)

Vivek Sharma

B. Tech (CSE) -Final Year Student, Dept Computer Science & Engineering, IIMT College of Engineering, Greater Noida (India)

Yash Rajput

B. Tech (CSE) -Final Year Student, Dept Computer Science & Engineering, IIMT College of Engineering, Greater Noida (India)

Shani Rathore

B. Tech (CSE) -Final Year Student, Dept Computer Science & Engineering, IIMT College of Engineering, Greater Noida (India)

Mr. Suman Kumar Jha

Project Supervisor, Dept. of Computer Science & Engineering, IIMT College of Engineering, Greater Noida,, Greater Noida, UP (India)

Badal Bhushan

Project Supervisor, Dept. of Computer Science & Engineering, IIMT College of Engineering, Greater Noida,, Greater Noida, UP (India)

Article Information

DOI: 10.51584/IJRIAS.2025.10120067

Subject Category: Computer Science

Volume/Issue: 10/12 | Page No: 801-809

Publication Timeline

Submitted: 2025-12-24

Accepted: 2025-12-29

Published: 2026-01-16

Abstract

With video content absolutely everywhere these days—on learning platforms, in business settings, across social media—trying to analyze it all by hand has become practically impossible. Our paper describes a framework we built that uses AI and machine learning to make understanding videos much simpler, whether you're uploading your own footage or just sharing a link to something online.
Here's how it works: the system examines what's actually happening on screen while also listening to the audio, then brings everything together into summaries that actually make sense. We're using a Transformer-based model that's really good at figuring out how different moments in a video relate to each other and what they mean in context. After you get your summary, there's also a lightweight language model that lets you have an actual conversation about what you watched—you can ask questions and get answers that show a real understanding of the content.

Keywords

Video Analysis, Video Summarization, Artificial Intelligence, Machine Learning

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References

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