Deep Learning for Video Summarization
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- Create Date 7 June 2025
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Deep Learning for Video Summarization
Sakshi Mohite
Student, Master of Computer Application, Trinity Academy of Engineering, Pune, India
Abstract
This project aims to develop a deep learning-based video summarization system that utilizes Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to analyze video content and generate concise summaries. The system will automatically identify key objects, events, and scenes in videos, and create summaries that capture the essential information. The project will explore various deep learning architectures and techniques to improve the quality and efficiency of video summarization.
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