In this section, we review the most relevant works, including recent deep learning- based video summarization approaches, and self-attention. Supervised With ...

Nov 20, 2020 · In this paper, we therefore present a novel input decomposition strategy, which samples the input both globally and locally.

Our approach allows the network to capture both local and global interdependencies between video frames effectively. Since GL-RPE can be easily integrated into ...

In this paper, we therefore present a novel input decomposition strategy, which samples the input both globally and locally.

The main idea of unsupervised video sum- marization is generating original features of a video by giving summarized fea- tures through the reconstruction ...

Automated unsupervised video summarization by key-frame extraction consists in identifying representative video frames, best abridging a complete input sequence ...

Global-and-Local Relative Position Embedding for Unsupervised Video Summarization ... Discriminative Feature Learning for Unsupervised Video Summarization.

3 days ago · In addition, compared to unsupervised learning approaches, supervised learning approaches in general can achieve better performance [4] , [19] .

Sep 24, 2024 · Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.

Global-and-local relative position embedding for unsupervised video summarization. Y Jung, D Cho, S Woo, IS Kweon. European Conference on Computer Vision, 167 ...