AESTHETIC DRIVEN VIDEO SUMMARIZATION

AESTHETIC DRIVEN VIDEO SUMMARIZATION

Shruthi T V1, Rahul R2, M Neha 3

1Associate Professor, 2Student, 3Student

Department of Information Science and Engineering

East West Institute of Technology, Bengaluru

Abstract - 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.