AIMC Topic: Video Recording
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Adaptive network steganography using deep learning and multimedia video analysis for enhanced security and fidelity.
PloS one
Jun 5, 2025
This study presents an advanced adaptive network steganography paradigm that integrates deep learning methodologies with multimedia video analysis to enhance the universality and security of network steganography practices. The proposed approach util...
Surgeons versus computer vision: a comparative analysis on surgical phase recognition capabilities.
International journal of computer assisted radiology and surgery
May 31, 2025
PURPOSE: Automated surgical phase recognition (SPR) uses artificial intelligence (AI) to segment the surgical workflow into its key events, functioning as a building block for efficient video review, surgical education as well as skill assessment. Pr...
Detecting Tardive Dyskinesia Using Video-Based Artificial Intelligence.
The Journal of clinical psychiatry
May 28, 2025
Tardive dyskinesia (TD) is a late-onset adverse effect of dopamine receptor-blocking medications, characterized by involuntary movements primarily affecting the mouth, though other body parts may be involved. Severity of TD varies from mild to debil...
Continuous automated analysis of facial dynamics of brachycephalic and normocephalic dogs in different contexts.
BMC veterinary research
May 24, 2025
This study develops a novel automated method for measuring continuous dynamics of dog facial behavior based on video-based tracking of 46 facial landmarks grounded in the Dog Facial Action Coding System. This method is applied for comparing the facia...
A Comprehensive Video Dataset for Surgical Laparoscopic Action Analysis.
Scientific data
May 24, 2025
Laparoscopic surgery has been widely used in various surgical fields due to its minimally invasive and rapid recovery benefits. However, it demands a high level of technical expertise from surgeons. While advancements in computer vision and deep lear...
Prototype-guided and dynamic-aware video anomaly detection.
Neural networks : the official journal of the International Neural Network Society
May 21, 2025
Anomaly detection in intelligent surveillance system is an important and challenging task, which commonly learns a model describing normal patterns via frame reconstruction or prediction and assumes that anomalies deviate form the learned normal mode...
Preliminary Development of a Database for Detecting Active Mounting Behaviors Using Signals Acquired from IoT Collars in Free-Grazing Cattle.
Sensors (Basel, Switzerland)
May 21, 2025
This study presents the development of a database for detecting active mounts, utilizing IoT collars equipped with Inertial Measurement Units (IMUs) installed on eight Holstein Friesian cows, along with video recordings from a long-range PTZ camera m...
Advanced traffic conflict analysis for safety evaluation at roundabouts under mixed traffic using extreme value theory.
Accident; analysis and prevention
May 16, 2025
Roundabout safety evaluation in non-lane-based, heterogeneous traffic conditions in low-middle-income countries brings challenges due to unavailable/unreliable crash data, thereby switching to the utilization of safety surrogates. This study employed...
Improving Foundation Model for Endoscopy Video Analysis via Representation Learning on Long Sequences.
IEEE journal of biomedical and health informatics
May 6, 2025
Recent advancements in endoscopy video analysis have relied on the utilization of relatively short video clips extracted from longer videos or millions of individual frames. However, these approaches tend to neglect the domain-specific characteristic...
Behavior recognition technology based on deep learning used in pediatric behavioral audiometry.
Scientific reports
May 5, 2025
This study aims to explore the feasibility and accuracy of deep learning-based pediatric behavioral audiometry. The research provides a dedicated pediatric posture detection dataset, which contains a large number of video clips from children's behavi...
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