Deep Learning for Video Summarization

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.