Video summarization using deep neural networks: A survey
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 …
selecting the most informative parts of the video content. Several approaches have been …
Align and attend: Multimodal summarization with dual contrastive losses
The goal of multimodal summarization is to extract the most important information from
different modalities to form summaries. Unlike unimodal summarization, the multimodal …
different modalities to form summaries. Unlike unimodal summarization, the multimodal …
Clip-it! language-guided video summarization
M Narasimhan, A Rohrbach… - Advances in neural …, 2021 - proceedings.neurips.cc
A generic video summary is an abridged version of a video that conveys the whole story and
features the most important scenes. Yet the importance of scenes in a video is often …
features the most important scenes. Yet the importance of scenes in a video is often …
Dsnet: A flexible detect-to-summarize network for video summarization
In this paper, we propose a Detect-to-Summarize network (DSNet) framework for supervised
video summarization. Our DSNet contains anchor-based and anchor-free counterparts. The …
video summarization. Our DSNet contains anchor-based and anchor-free counterparts. The …
Reconstructive sequence-graph network for video summarization
Exploiting the inner-shot and inter-shot dependencies is essential for key-shot based video
summarization. Current approaches mainly devote to modeling the video as a frame …
summarization. Current approaches mainly devote to modeling the video as a frame …
Tl; dw? summarizing instructional videos with task relevance and cross-modal saliency
YouTube users looking for instructions for a specific task may spend a long time browsing
content trying to find the right video that matches their needs. Creating a visual summary …
content trying to find the right video that matches their needs. Creating a visual summary …
Video summarization through reinforcement learning with a 3D spatio-temporal u-net
Intelligent video summarization algorithms allow to quickly convey the most relevant
information in videos through the identification of the most essential and explanatory content …
information in videos through the identification of the most essential and explanatory content …
Hierarchical multimodal transformer to summarize videos
Although video summarization has achieved tremendous success benefiting from Recurrent
Neural Networks (RNN), RNN-based methods neglect the global dependencies and multi …
Neural Networks (RNN), RNN-based methods neglect the global dependencies and multi …
Deep hierarchical LSTM networks with attention for video summarization
This paper studies the video summarization task by formulating it as a sequential decision-
making process, in which the input is a sequence of video frames and the output is a subset …
making process, in which the input is a sequence of video frames and the output is a subset …
Summarizing videos using concentrated attention and considering the uniqueness and diversity of the video frames
In this work, we describe a new method for unsupervised video summarization. To overcome
limitations of existing unsupervised video summarization approaches, that relate to the …
limitations of existing unsupervised video summarization approaches, that relate to the …