SUM-GAN-GEA: Video Summarization Using GAN with Gaussian Distribution and External Attention
Video summarization aims to generate a sparse subset that is more concise and less redundant than the original video while containing the most informative parts of the video. However, previous works ignore the prior knowledge of the distribution of interestingness of video frames, making it hard for...
Main Authors: | Qinghao Yu, Hui Yu, Yongxiong Wang, Tuan D. Pham |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-10-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/11/21/3523 |
Similar Items
-
From video summarization to real time video summarization in smart cities and beyond: A survey
by: Prashant Giridhar Shambharkar, et al.
Published: (2023-01-01) -
Recent Challenges and Opportunities in Video Summarization With Machine Learning Algorithms
by: Payal Kadam, et al.
Published: (2022-01-01) -
Towards Enhancing Keyframe Extraction Strategy for Summarizing Surveillance Video: An Implementation Study
by: Bashir Olaniyi Sadiq, et al.
Published: (2022-09-01) -
Abstractive Summarizers Become Emotional on News Summarization
by: Vicent Ahuir, et al.
Published: (2024-01-01) -
Interp-SUM: Unsupervised Video Summarization with Piecewise Linear Interpolation
by: Ui-Nyoung Yoon, et al.
Published: (2021-07-01)