A review on video summarization techniques
The exponential growth of technology has resulted in a profusion of advanced imaging
devices and eases internet accessibility, leading to an increase in the creation and use of …
devices and eases internet accessibility, leading to an increase in the creation and use of …
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 …
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 …
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 …
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 …
Video summarization with a convolutional attentive adversarial network
With the explosive growth of video data, video summarization, which attempts to seek the
minimum subset of frames while still conveying the main story, has become one of the …
minimum subset of frames while still conveying the main story, has become one of the …
Gpt2mvs: Generative pre-trained transformer-2 for multi-modal video summarization
Traditional video summarization methods generate fixed video representations regardless of
user interest. Therefore such methods limit users' expectations in content search and …
user interest. Therefore such methods limit users' expectations in content search and …
Deep semantic and attentive network for unsupervised video summarization
With the rapid growth of video data, video summarization is a promising approach to shorten
a lengthy video into a compact version. Although supervised summarization approaches …
a lengthy video into a compact version. Although supervised summarization approaches …
Static video summarization using video coding features with frame-level temporal subsampling and deep learning
O Issa, T Shanableh - Applied Sciences, 2023 - mdpi.com
There is an abundance of digital video content due to the cloud's phenomenal growth and
security footage; it is therefore essential to summarize these videos in data centers. This …
security footage; it is therefore essential to summarize these videos in data centers. This …