AESTHETIC DRIVEN VIDEO SUMMARIZATION

Video summarization condenses long, monotonous videos into concise representations, retaining critical events, objects, and sequences while minimizing redundancy. This allows users to quickly extract insights without watching the entire footage, benefiting fields like entertainment, education, surveillance, and recommendation systems. By integrating object detection a deep learning technique for identifying and localizing objects into the summarization process, the approach enhances relevance and context- awareness. This fusion ensures more accurate and meaningful summaries compared to traditional methods. Key Words: Video summarization, Object detection, Automated summarization, Surveillance, Deep learning.