Abstract: Deep auto-encoders (AEs) are widely employed deep learning methods in the field of anomaly detection across diverse domains (e.g., cybersecurity analysts managing large volumes of alerts, or ...

Abstract: This paper presents a novel approach for video summarization integrating sparse auto-encoders and K-means clustering based on the video similarity graph (VSG). The suggested approach begins ...