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 …
Combining global and local attention with positional encoding for video summarization
This paper presents a new method for supervised video summarization. To overcome
drawbacks of existing RNN-based summarization architectures, that relate to the modeling …
drawbacks of existing RNN-based summarization architectures, that relate to the modeling …
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 …
EEG-video emotion-based summarization: Learning with EEG auxiliary signals
Video summarization is the process of selecting a subset of informative keyframes to
expedite storytelling with limited loss of information. In this article, we propose an EEG-Video …
expedite storytelling with limited loss of information. In this article, we propose an EEG-Video …
Self-supervised adversarial video summarizer with context latent sequence learning
Video summarization attempts to create concise and complete synopsis of a video through
identifying the most informative and explanatory parts while removing redundant video …
identifying the most informative and explanatory parts while removing redundant video …
Combining adversarial and reinforcement learning for video thumbnail selection
This paper presents a new method for unsupervised video thumbnail selection. The
developed network architecture selects video thumbnails based on two criteria: the …
developed network architecture selects video thumbnails based on two criteria: the …
Video summarization overview
With the broad growth of video capturing devices and applications on the web, it is more
demanding to provide desired video content for users efficiently. Video summarization …
demanding to provide desired video content for users efficiently. Video summarization …
Multi-level spatiotemporal network for video summarization
M Yao, Y Bai, W Du, X Zhang, H Quan, F Cai… - Proceedings of the 30th …, 2022 - dl.acm.org
With the increasing of ubiquitous devices with cameras, video content is widely produced in
the industry. Automation video summarization allows content consumers effectively retrieve …
the industry. Automation video summarization allows content consumers effectively retrieve …
Multimodal frame-scoring transformer for video summarization
As the number of video content has mushroomed in recent years, automatic video
summarization has come useful when we want to just peek at the content of the video …
summarization has come useful when we want to just peek at the content of the video …
Masked Autoencoder for Unsupervised Video Summarization
Summarizing a video requires a diverse understanding of the video, ranging from
recognizing scenes to evaluating how much each frame is essential enough to be selected …
recognizing scenes to evaluating how much each frame is essential enough to be selected …