Video summarization using deep neural networks: A survey

E Apostolidis, E Adamantidou, AI Metsai… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Video summarization technologies aim to create a concise and complete synopsis by
selecting the most informative parts of the video content. Several approaches have been …

Data-driven enabled approaches for criteria-based video summarization: a comprehensive survey, taxonomy, and future directions

A Sabha, A Selwal - Multimedia Tools and Applications, 2023 - Springer
The exponential growth in the usage of computing technologies in various applications has
led to the creation of huge amount of multimedia information such as, video, audio, and text …

Weakly-supervised video summarization using variational encoder-decoder and web prior

S Cai, W Zuo, LS Davis… - Proceedings of the …, 2018 - openaccess.thecvf.com
Video summarization is a challenging under-constrained problem because the underlying
summary of a single video strongly depends on users' subjective understandings. Data …

Weakly supervised summarization of web videos

R Panda, A Das, Z Wu, J Ernst… - Proceedings of the …, 2017 - openaccess.thecvf.com
Most of the prior works summarize videos by either exploring different heuristically designed
criteria in an unsupervised way or developing fully supervised algorithms by leveraging …

Stacked memory network for video summarization

J Wang, W Wang, Z Wang, L Wang, D Feng… - Proceedings of the 27th …, 2019 - dl.acm.org
In recent years, supervised video summarization has achieved promising progress with
various recurrent neural networks (RNNs) based methods, which treats video summarization …

Collaborative summarization of topic-related videos

R Panda, AK Roy-Chowdhury - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Large collections of videos are grouped into clusters by a topic keyword, such as" Eiffel
Tower" or" Surfing", with many important visual concepts repeating across them. Such a …

Multi-view surveillance video summarization via joint embedding and sparse optimization

R Panda, AK Roy-Chowdhury - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Most traditional video summarization methods are designed to generate effective summaries
for single-view videos, and thus, they cannot fully exploit the complicated intra-and inter …

Diversity-aware multi-video summarization

R Panda, NC Mithun… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Most video summarization approaches have focused on extracting a summary from a single
video; we propose an unsupervised framework for summarizing a collection of videos. We …

Ffnet: Video fast-forwarding via reinforcement learning

S Lan, R Panda, Q Zhu… - Proceedings of the …, 2018 - openaccess.thecvf.com
For many intelligent applications with limited computation, communication, storage and
energy resources, there is an imperative need of vision methods that could select an …

Patch based video summarization with block sparse representation

S Mei, M Ma, S Wan, J Hou, Z Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In recent years, sparse representation has been successfully utilized for video
summarization (VS). However, most of the sparse representation based VS methods …