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Detection of tampered real time videos using deep neural networks
In recent years, there has been a significant increase in the creation and sharing of videos that promote the utilization of digitally interactive...
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DeepFake Videos Detection Using Crowd Computing
In recent times, the widespread dissemination of misinformation through realistic artificially generated images and deep faked videos has become a...
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Multi sentence description of complex manipulation action videos
Automatic video description necessitates generating natural language statements that encapsulate the actions, events, and objects within a video. An...
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Soccer player tracking and data correction based on attention with full-field videos
Tracking soccer players serves as a fundamental prerequisite for the automated analysis of soccer videos. The strides in computer vision technology...
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DOVE: Learning Deformable 3D Objects by Watching Videos
Learning deformable 3D objects from 2D images is often an ill-posed problem. Existing methods rely on explicit supervision to establish multi-view...
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Using gameplay videos for detecting issues in video games
ContextThe game industry is increasingly growing in recent years. Every day, millions of people play video games, not only as a hobby, but also for...
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An autonomous low-cost studio to record production-ready instructional videos
Producing high-quality educational videos usually requires a large budget as it involves the use of expensive recording studios, the presence of a...
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Encoding laparoscopic image to words using vision transformer for distortion classification and ranking in laparoscopic videos
Laparoscopic videos are tools used by surgeons to insert narrow tubes into the abdomen and keep the skin without large incisions. The videos captured...
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A Critical Study on Suspicious Object Detection with Images and Videos Using Machine Learning Techniques
Security has emerged as a significant concern in today's world, particularly in public places such as railway stations, airports, shop** malls, and...
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Using two-stream EfficientNet-BiLSTM network for multiclass classification of disturbing YouTube videos
YouTube video recommendation algorithm plays an important role in enhancing user engagement and profitability (or monetization), yet it struggles to...
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Recent advances in object tracking using hyperspectral videos: a survey
Short-Term Single-Object (STSO) tracking using Hyperspectral Videos (HSVs), which has become a hotspot recently, is a challenging task. Hyperspectral...
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iMoCap: Motion Capture from Internet Videos
Recent advances in image-based human pose estimation make it possible to capture 3D human motion from a single RGB video. However, the inherent depth...
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A novel approach for detecting deep fake videos using graph neural network
Deep fake technology has emerged as a double-edged sword in the digital world. While it holds potential for legitimate uses, it can also be exploited...
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Violence recognition on videos using two-stream 3D CNN with custom spatiotemporal crop
Violence may happen anywhere. One of the ways to know and oversee the violence in some places is by installing Closed-circuit Television (CCTV). The...
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Compositional Prompting Video-language Models to Understand Procedure in Instructional Videos
Instructional videos are very useful for completing complex daily tasks, which naturally contain abundant clip-narration pairs. Existing works for...
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FunnyNet-W: Multimodal Learning of Funny Moments in Videos in the Wild
Automatically understanding funny moments (i.e., the moments that make people laugh) when watching comedy is challenging, as they relate to various...
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Temporally Consistent Enhancement of Low-Light Videos via Spatial-Temporal Compatible Learning
Temporal inconsistency is the annoying artifact that has been commonly introduced in low-light video enhancement, but current methods tend to...
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VTM-GAN: video-text matcher based generative adversarial network for generating videos from textual description
Text-to-video synthesis has garnered significant attention as a challenging task in the domain of vision computing. With the advent of unsupervised...
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An intelligent machine learning-enabled cattle reclining risk mitigation technique using surveillance videos
Public highways are, in reality, the cornerstone of the country's transportation system. Accidents are unavoidable with this mode of transportation....
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A data stream-based approach for anomaly detection in surveillance videos
Anomaly detection is a challenging task in surveillance videos. Nowadays, deep learning-based approaches have been developed for this issue. Although...
