Deep attentive video summarization with distribution consistency learning
This article studies supervised video summarization by formulating it into a sequence-to-
sequence learning framework, in which the input and output are sequences of original video …
sequence learning framework, in which the input and output are sequences of original video …
Video summarization via block sparse dictionary selection
The explosive growth of video data has raised new challenges for many video processing
tasks such as video browsing and retrieval, hence, effective and efficient video …
tasks such as video browsing and retrieval, hence, effective and efficient video …
Unsupervised video summarization via attention-driven adversarial learning
This paper presents a new video summarization approach that integrates an attention
mechanism to identify the significant parts of the video, and is trained unsupervisingly via …
mechanism to identify the significant parts of the video, and is trained unsupervisingly via …
Attention-based Conv-LSTM and Bi-LSTM networks for large-scale traffic speed prediction
X Hu, T Liu, X Hao, C Lin - The Journal of Supercomputing, 2022 - Springer
Timely and accurate traffic speed prediction has gained increasing importance for urban
traffic management and helping one to make advisable travel decision. However, the …
traffic management and helping one to make advisable travel decision. However, the …
TTH-RNN: Tensor-train hierarchical recurrent neural network for video summarization
Although a recurrent neural network (RNN) has achieved tremendous advances in video
summarization, there are still some problems remaining to be addressed. In this article, we …
summarization, there are still some problems remaining to be addressed. In this article, we …
A survey of recent work on video summarization: approaches and techniques
V Tiwari, C Bhatnagar - Multimedia Tools and Applications, 2021 - Springer
The volume of video data generated has seen an exponential growth over the years and
video summarization has emerged as a process that can facilitate efficient storage, quick …
video summarization has emerged as a process that can facilitate efficient storage, quick …
Videoxum: Cross-modal visual and textural summarization of videos
Video summarization aims to distill the most important information from a source video into
either an abridged video clip or a textual narrative. Existing methods often treat the …
either an abridged video clip or a textual narrative. Existing methods often treat the …
Property-constrained dual learning for video summarization
Video summarization is the technique to condense large-scale videos into summaries
composed of key-frames or key-shots so that the viewers can browse the video content …
composed of key-frames or key-shots so that the viewers can browse the video content …
Supervised video summarization via multiple feature sets with parallel attention
The assignment of importance scores to particular frames or (short) segments in a video is
crucial for summarization, but also a difficult task. Previous work utilizes only one source of …
crucial for summarization, but also a difficult task. Previous work utilizes only one source of …
Video summarization with spatiotemporal vision transformer
TC Hsu, YS Liao, CR Huang - IEEE Transactions on Image …, 2023 - ieeexplore.ieee.org
Video summarization aims to generate a compact summary of the original video for efficient
video browsing. To provide video summaries which are consistent with the human …
video browsing. To provide video summaries which are consistent with the human …