A topic modeling‐based bibliometric exploration of automatic summarization research
The surge in text data has driven extensive research into developing diverse automatic
summarization approaches to effectively handle vast textual information. There are several …
summarization approaches to effectively handle vast textual information. There are several …
Enhancing lecture video navigation with AI generated summaries
Video is an increasingly important resource in higher education. A key limitation of lecture
video is that it is fundamentally a sequential information stream. Quickly accessing the …
video is that it is fundamentally a sequential information stream. Quickly accessing the …
Video Visualization and Visual Analytics: A Task-Based and Application-Driven Investigation
Video data refers to digital information in the form of a series of frames or images
representing continuous motion captured by a video recording device. In various domains …
representing continuous motion captured by a video recording device. In various domains …
Video summarization generation based on graph structure reconstruction
J Zhang, G Wu, S Song - Electronics, 2023 - mdpi.com
Video summarization aims to identify important segments in a video and merge them into a
concise representation, enabling users to comprehend the essential information without …
concise representation, enabling users to comprehend the essential information without …
Bilingual video captioning model for enhanced video retrieval
N Alrebdi, AA Al-Shargabi - Journal of Big Data, 2024 - Springer
Many video platforms rely on the descriptions that uploaders provide for video retrieval.
However, this reliance may cause inaccuracies. Although deep learning-based video …
However, this reliance may cause inaccuracies. Although deep learning-based video …
Encoder-decoder architectures based video summarization using key-shot selection model
K Yashwanth, B Soni - Multimedia Tools and Applications, 2024 - Springer
With the exponential growth of video data, video summarization has become a challenging
task. In this article, we propose a deep learning framework for video summarization that …
task. In this article, we propose a deep learning framework for video summarization that …
Reconstructive network under contrastive graph rewards for video summarization
G Wu, S Song, X Wang, J Zhang - Expert Systems with Applications, 2024 - Elsevier
Video summarization aims to condense video content by extracting pivotal frames or shots.
Most existing methods focus on maximizing the intersection between predicted summary …
Most existing methods focus on maximizing the intersection between predicted summary …
Global–local spatio-temporal graph convolutional networks for video summarization
G Wu, S Song, J Zhang - Computers and Electrical Engineering, 2024 - Elsevier
Video summarization aims to create concise and accurate summary to enable users to
quickly grasp the key content of the original video for facilitating efficient video browsing …
quickly grasp the key content of the original video for facilitating efficient video browsing …
Effective Video Summarization Using Channel Attention-Assisted Encoder–Decoder Framework
A significant number of cameras regularly generate massive amounts of data, demanding
hardware, time, and labor resources to acquire, process, and monitor. Asymmetric frames …
hardware, time, and labor resources to acquire, process, and monitor. Asymmetric frames …
A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene Classification
Image summary, an abridged version of the original visual content, can be used to represent
the scene. Thus, tasks such as scene classification, identification, indexing, etc., can be …
the scene. Thus, tasks such as scene classification, identification, indexing, etc., can be …