An overview of violence detection techniques: current challenges and future directions
Abstract The Big Video Data generated in today's smart cities has raised concerns from its
purposeful usage perspective, where surveillance cameras, among many others are the …
purposeful usage perspective, where surveillance cameras, among many others are the …
Financial time series forecasting with multi-modality graph neural network
Financial time series analysis plays a central role in hedging market risks and optimizing
investment decisions. This is a challenging task as the problems are always accompanied …
investment decisions. This is a challenging task as the problems are always accompanied …
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 …
Interventional video grounding with dual contrastive learning
Video grounding aims to localize a moment from an untrimmed video for a given textual
query. Existing approaches focus more on the alignment of visual and language stimuli with …
query. Existing approaches focus more on the alignment of visual and language stimuli with …
Interpretable learning based dynamic graph convolutional networks for alzheimer's disease analysis
Abstract Graph Convolutional Networks (GCNs) are widely applied in classification tasks by
aggregating the neighborhood information of each sample to output robust node …
aggregating the neighborhood information of each sample to output robust node …
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 …
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 …
Learning multiscale hierarchical attention for video summarization
In this paper, we propose a multiscale hierarchical attention approach for supervised video
summarization. Different from most existing supervised methods which employ bidirectional …
summarization. Different from most existing supervised methods which employ bidirectional …
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 …
A survey of recent work on video summarization: approaches and techniques
V Tiwari, C Bhatnagar - Multimedia Tools and Applications, 2021 - Springer
The volume of video data generated has seen an exponential growth over the years and
video summarization has emerged as a process that can facilitate efficient storage, quick …
video summarization has emerged as a process that can facilitate efficient storage, quick …