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Dataset results
13 results for “video calls”
Dataset for Real and Virtual Backgrounds of Video Calls
<p>Video conferencing applications play an important role in our day-to-day life. They enable people to meet, work, and collaborate remotely, especially in circumstances where physical meetings are not possible (e.g., pandemic scenarios, long distances, etc.). However, such applications might invade people's privacy, such as disclosing their sensitive information. In this dataset, we recorded different video conferencing with diverse real and virtual backgrounds, changing subjects, lighting, and so on.</p> <p>If you want to use these datasets for non-commercial purposes, please cite the following papers:</p> <p>@article{nowroozi2020survey,<br> title={A survey of machine learning techniques in adversarial image forensics},<br> author={Nowroozi, Ehsan and Dehghantanha, Ali and Parizi, Reza M and Choo, Kim-Kwang Raymond},<br> journal={Computers \& Security},<br> pages={102092},<br> year={2020},<br> publisher={Elsevier}<br>}</p> <p> </p>
Video: Turkish National Advisory Group Meeting on Horizon Europe Solar Energy Call topics, 18 Nov. 2022
<p>Video of a 1 day open meeting to catalyze and support Turkish participation in a cluster of upcoming Horizon Europe Calls on Solar Energy.</p>
Instant Messaging Meets Video Conferencing: Studying the Performance of IM Video Calls
<p>Instant Messaging Meets Video Conferencing: Studying the Performance of IM Video Calls</p> <p>This repository holds the data associated to the <a href="https://tma.ifip.org/2023/accepted-papers/">TMA 2023</a> <a href="https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-grote-mvca-fairness.pdf">paper</a> of the same name.</p> <p>Publication</p> <ul> <li>Laurenz Grote, Ike Kunze, Constantin Sander, and Klaus Wehrle: <em>Instant Messaging Meets Video Conferencing: Studying the Performance of IM Video Calls</em>. In Proceedings of the IFIP/IEEE Network Traffic Measurement and Analysis Conference (TMA '23), 2023.</li> </ul> <p>If you use any portion of our work, please consider citing our publication.</p> <pre><code>@Inproceedings {2023-grote-mvca-fairness, title = {Instant Messaging Meets Video Conferencing: Studying the Performance of IM Video Calls}, year = {2023}, month = {6}, publisher = {IFIP/IEEE}, booktitle = {Proceedings of the Network Traffic Measurement and Analysis Conference (TMA '23)}, author = {Grote, Laurenz and Kunze, Ike and Sander, Constantin and Wehrle, Klaus} } </code></pre> <p>data/: Dataset</p> <p>Holds the data set containing all the data plotted in the paper as well as additional measurements. Data format:</p> <p>All measurements are indexed by <code>index.csv</code>. Every row in this file identifies a measurement by a GUID and contains all relevant metadata (scenario type, available bandwidth...). Statistics on the packet level (throughput, queueing, loss and whether the call broke down during the experiment) are supplemented by <code>index_avgbwdist.csv</code>. You should be able to easily join these files on the GUID column.</p> <p>Where applicable, <code>index_qoe.csv</code> contains the aggregate BRISQUE value for the entire call as described in the paper.</p> <p>The bandwidth profile style (Figure 3) measurements are contained in <code>bwprofiles.csv.gz</code>. After decompression, you get all throughput samples of all measurement calls concatenated together.</p> <p>code/: Code Repository</p> <p>Contains the code used to instrument the test bed. Undocumented and never deployed beyond our very own test bed. The code is not runnable as-is. You need prepare the testbed computers as well as configure IP addresses, hostnames, paths and e-mail addresses within the code base. Beyond here might be dragons.</p>
Video Emergency Calls of Bystanders
ClinicalTrials.gov study NCT06598592. IPD Sharing: NO. Countries: 1. Publications: 0.
Video-call Assisted Assessment of Acute Stroke in Addition to Stroke Severity Scales in a Prehospital Setting
ClinicalTrials.gov study NCT05737420. IPD Sharing: NO. Countries: 1. Publications: 2.
Dispatch of Emergency Call Using Video Streaming Compared With Traditional Telephone Communication
ClinicalTrials.gov study NCT05742412. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Impact of Serial Bedside Video Calls on Stress Level in Parents of Infants Admitted to NICU
ClinicalTrials.gov study NCT06252883. IPD Sharing: NO. Countries: 1. Publications: 5.
Video-instructed First Aid in Emergency Medical Call Centers
ClinicalTrials.gov study NCT05121649. IPD Sharing: NO. Countries: 1. Publications: 10.
The Effect of Video Calls With Family Members During Operating Room Waiting on Stress, Anxiety, and Surgical Fear in Patients Undergoing Transurethral Resection of Bladder Tumor
ClinicalTrials.gov study NCT07203989. IPD Sharing: NO. Countries: 1. Publications: 0.
Video Call Assisted Assessment of Acute Stroke
ClinicalTrials.gov study NCT06570681. IPD Sharing: NO. Countries: 1. Publications: 0.
Phase I: At-Home Support for Rural Women Using Group Video Calling
ClinicalTrials.gov study NCT01672684. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effectiveness of Phone Call and Video-based Interventions to Improve Adherence to Medications in Hypertensive Patients
ClinicalTrials.gov study NCT06927271. IPD Sharing: YES. Countries: 1. Publications: 0.
un video de trafico en la calle
<p>un video de una vista de la calle con moto y coches pasando para probar tracking sencillo</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.