AI Medical Compendium Topic:
Video Recording

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Determination of Saccade Latency Distributions using Video Recordings from Consumer-grade Devices.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Quantitative and accurate tracking of neurocognitive decline remains an ongoing challenge. We seek to address this need by focusing on robust and unobtrusive measurement of saccade latency - the time between the presentation of a visual stimulus and ...

Action-Driven Visual Object Tracking With Deep Reinforcement Learning.

IEEE transactions on neural networks and learning systems
In this paper, we propose an efficient visual tracker, which directly captures a bounding box containing the target object in a video by means of sequential actions learned using deep neural networks. The proposed deep neural network to control track...

Estimating mechanical properties of cloth from videos using dense motion trajectories: Human psychophysics and machine learning.

Journal of vision
Humans can visually estimate the mechanical properties of deformable objects (e.g., cloth stiffness). While much of the recent work on material perception has focused on static image cues (e.g., textures and shape), little is known about whether huma...

Towards a Machine-Learning Approach for Sickness Prediction in 360° Stereoscopic Videos.

IEEE transactions on visualization and computer graphics
Virtual reality systems are widely believed to be the next major computing platform. There are, however, some barriers to adoption that must be addressed, such as that of motion sickness - which can lead to undesirable symptoms including postural ins...

What robot for tomorrow and what improvement can we expect?

Current opinion in urology
PURPOSE OF REVIEW: The purpose of this review is to summarize the status of robotic surgery currently, contextualizing the advances and improvements we can expect in the immediate future. Robotics continues to demonstrate increased utility and expans...

Deep Learning and Online Video: Advances in Transcription, Automated Indexing, and Manipulation.

Medical reference services quarterly
In recent years, the amount of video content created and uploaded to the Internet has grown exponentially. Video content has unique accessibility challenges: indexing, transcribing, and searching video has always been very labor intensive, and there ...

Trajectory Predictor by Using Recurrent Neural Networks in Visual Tracking.

IEEE transactions on cybernetics
Motion models have been proved to be a crucial part in the visual tracking process. In recent trackers, particle filter and sliding windows-based motion models have been widely used. Treating motion models as a sequence prediction problem, we can est...

Learning the Personalized Intransitive Preferences of Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Most of the previous studies on the user preferences assume that there is a personal transitive preference ranking of the consumable media like images. For example, the transitivity of preferences is one of the most important assumptions in the recom...

Machine vision methods for analyzing social interactions.

The Journal of experimental biology
Recent developments in machine vision methods for automatic, quantitative analysis of social behavior have immensely improved both the scale and level of resolution with which we can dissect interactions between members of the same species. In this p...