Shot Segmentation Based on Von Neumann Entropy for Key Frame Extraction

TL;DR

This paper introduces a novel shot segmentation method using Von Neumann entropy to improve key frame extraction, effectively capturing video content with fewer redundant frames.

Contribution

The paper proposes a new shot segmentation algorithm based on Von Neumann entropy, enhancing key frame extraction accuracy and efficiency.

Findings

Key frames accurately represent original videos.

Method reduces redundant frames.

Effective shot segmentation demonstrated.

Abstract

Video key frame extraction is important in various fields, such as video summary, retrieval, and compression. Therefore, we suggest a video key frame extraction algorithm based on shot segmentation using Von Neumann entropy. The segmentation of shots is achieved through the computation of Von Neumann entropy of the similarity matrix among frames within the video sequence. The initial frame of each shot is selected as key frames, which combines the temporal sequence information of frames. The experimental results show the extracted key frames can fully and accurately represent the original video content while minimizing the number of repeated frames.