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 …
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 …
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 …
In recent years, supervised video summarization has achieved promising progress with various recurrent neural networks (RNNs) based methods, which treats video summarization …
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 …
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 …
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 …
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 …
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 …