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 …
Deep multi-scale pyramidal features network for supervised video summarization
Video data are witnessing exponential growth, and extracting summarized information is
challenging. It is always necessary to reduce the load of video traffic for the efficient video …
challenging. It is always necessary to reduce the load of video traffic for the efficient video …
Exploring global diverse attention via pairwise temporal relation for video summarization
Video summarization is an effective way to facilitate video searching and browsing. Most of
existing systems employ encoder-decoder based recurrent neural networks, which fail to …
existing systems employ encoder-decoder based recurrent neural networks, which fail to …
[HTML][HTML] Video summarization using deep learning techniques: a detailed analysis and investigation
One of the critical multimedia analysis problems in today's digital world is video
summarization (VS). Many VS methods have been suggested based on deep learning …
summarization (VS). Many VS methods have been suggested based on deep learning …
Joint video summarization and moment localization by cross-task sample transfer
Video summarization has recently engaged increasing attention in computer vision
communities. However, the scarcity of annotated data has been a key obstacle in this task …
communities. However, the scarcity of annotated data has been a key obstacle in this task …
AC-SUM-GAN: Connecting actor-critic and generative adversarial networks for unsupervised video summarization
This paper presents a new method for unsupervised video summarization. The proposed
architecture embeds an Actor-Critic model into a Generative Adversarial Network and …
architecture embeds an Actor-Critic model into a Generative Adversarial Network and …
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 …
Relational reasoning over spatial-temporal graphs for video summarization
In this paper, we propose a dynamic graph modeling approach to learn spatial-temporal
representations for video summarization. Most existing video summarization methods extract …
representations for video summarization. Most existing video summarization methods extract …
Global-and-local relative position embedding for unsupervised video summarization
In order to summarize a content video properly, it is important to grasp the sequential
structure of video as well as the long-term dependency between frames. The necessity of …
structure of video as well as the long-term dependency between frames. The necessity of …