Advanced Techniques in Content-Based Video Retrieval: Machine Learning and Deep Learning Approaches

Abstract

Content-Based Video Retrieval (CBVR) has emerged as a crucial technology for efficiently managing and searching vast video repositories. This paper explores advanced techniques in CBVR, focusing on machine learning (ML) and deep learning (DL) approaches. We review traditional CBVR methods, highlight the limitations that modern ML and DL techniques address, and delve into state-of-the-art models and methodologies. Emphasis is placed on feature extraction, similarity measurement, and indexing, with a discussion on challenges and future research directions.