AIMC Topic: Video Recording
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Identifying Novel Emotions and Wellbeing of Horses from Videos Through Unsupervised Learning.
Sensors (Basel, Switzerland)
Jan 31, 2025
This research applies unsupervised learning on a large original dataset of horses in the wild to identify previously unidentified horse emotions. We construct a novel, high-quality, diverse dataset of 3929 images consisting of five wild horse breeds ...
Localization and detection of deepfake videos based on self-blending method.
Scientific reports
Jan 31, 2025
Deepfake technology, which encompasses various video manipulation techniques implemented through deep learning algorithms-such as face swapping and expression alteration-has advanced to generate fake videos that are increasingly difficult for human o...
A Rectal Cancer Surgery Dataset: Use of artificial intelligence to aid automation of error identification.
Scientific data
Jan 30, 2025
Minimally invasive surgery is complex and prone to variation not routinely objectively measured. We established an association between skills and patient outcomes. The evolving application of artificial intelligence techniques could assist intraopera...
Machine-Learning-Based Activity Tracking for Individual Pig Monitoring in Experimental Facilities for Improved Animal Welfare in Research.
Sensors (Basel, Switzerland)
Jan 28, 2025
In experimental research, animal welfare should always be of the highest priority. Currently, physical in-person observations are the standard. This is time-consuming, and results are subjective. Video-based machine learning models for monitoring exp...
Using artificial intelligence to evaluate adherence to best practices in one anastomosis gastric bypass: first steps in a real-world setting.
Surgical endoscopy
Jan 27, 2025
BACKGROUND: Safety in one anastomosis gastric bypass (OAGB) is judged by outcomes, but it seems reasonable to utilize best practices for safety, whose performance can be evaluated and therefore improved. We aimed to test an artificial intelligence-ba...
Context Sensitive Network for weakly-supervised fine-grained temporal action localization.
Neural networks : the official journal of the International Neural Network Society
Jan 24, 2025
Weakly-supervised fine-grained temporal action localization seeks to identify fine-grained action instances in untrimmed videos using only video-level labels. The primary challenge in this task arises from the subtle distinctions among various fine-g...
Gait Video-Based Prediction of Severity of Cerebellar Ataxia Using Deep Neural Networks.
Movement disorders : official journal of the Movement Disorder Society
Jan 22, 2025
BACKGROUND: Pose estimation algorithms applied to two-dimensional videos evaluate gait disturbances; however, a few studies have used this method to evaluate ataxic gait.
A prospective and comparative study on improving the diagnostic accuracy of early gastric cancer based on deep convolutional neural network real-time diagnosis system (with video).
Surgical endoscopy
Jan 22, 2025
BACKGROUND: Endoscopic diagnosis of early gastric cancer (EGC) is a challenge. It is not clear whether deep convolutional neural network (DCNN) model could improve the endoscopists' diagnostic performance.
Deep Learning-Based Assessment of Lip Symmetry for Patients With Repaired Cleft Lip.
The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association
Jan 22, 2025
ObjectivePost-surgical lip symmetry assessment is a key indicator of cleft repair success. Traditional methods rely on distances between anatomical landmarks, which are impractical for video analysis and overlook texture and appearance. We propose an...
SSIM over MSE: A new perspective for video anomaly detection.
Neural networks : the official journal of the International Neural Network Society
Jan 14, 2025
Video anomaly detection plays a crucial role in ensuring public safety. Its goal is to detect abnormal patterns contained in video frames. Most existing models distinguish the anomalies based on the Mean Squared Error (MSE), which is hard to align wi...
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