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35 results for “Video network”
Ice water path retrievals from Meteosat-9 with quantile regression neural networks: video supplement
<p>Supplementary videos used from in A. Amell, P. Eriksson, S. Pfreundschuh: Ice water path retrievals form Meteosat-9 with quantile regression neural networks.</p>
Video simulations for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks"
<p>Videos of the comparison between numerical and deep learning simulations for test datasets 1, 2, and 3 for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks".</p>
Constructing a social-behavioral association network to study management impact on waterbird community ecology using digital video recording cameras
Open the record for dataset details and reuse information.
[Videos] Design of resilient smart highway systems with data-driven monitoring from networked cameras
<p>Traditional high-way transportation systems are monitored based on traffic counters. Such sensors provide much less information compared to traffic cameras and make the system less secure/resilient to attacks/disasters. Thanks to the success of deep learning for object detection/segmentation on images and the publicly available large-scale image datasets with object labels, fusing the information from both traffic counters and traffic cameras has the potential to improve the security and resilience of existing high- way transportation systems. The purpose of the project is to investigate such a potential by developing a deep-learning-based highway video monitoring method that can reliably estimate the fine-grained (car/truck/motorcycle) traffic flow of a high-way network. First, we need to collect a large- scale traffic video dataset with traffic flow estimations from corresponding traffic counters. Then, we need to find efficient deep learning methods for extracting fine-grained local traffic information from individual traffic videos. At last, we need to correlate this information with traffic counters for sensor fusion and detection of defective counters.</p>
Applying High-Speed Video Images to Inverse Channel Base Current Based on NARX Neural Network
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SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning Over Traffic Events
<p><strong>SUTD-TrafficQA</strong> is a dataset that takes the form of <strong>Video</strong> <strong>QA</strong> based on 10,080 in-the-wild videos and annotated 62,535 QA pairs, for benchmarking the cognitive capability of causal inference and event understanding models in complex traffic scenarios. Specifically, the dataset proposes 6 challenging reasoning tasks corresponding to various traffic scenarios, so as to evaluate the reasoning capability over different kinds of complex yet practical traffic events.</p>
Figure 4 in Visual census, photographic records and the trial of a video network provide first evidence of the elusive Sicyopterus cynocephalus in Australia
Figure 4. – Cumulative number of Sicyopterus spp. in view at any one time during the recording period across the ten cameras (i.e. NetworkN) deployed on 18 September, 2014.
Figure 2 in Visual census, photographic records and the trial of a video network provide first evidence of the elusive Sicyopterus cynocephalus in Australia
Figure 2. – Benthic habitat use and appearance of select species. A: Brown morph of male Sicyopterus cynocephalus as seen in the plunge pool initially on the first visit (however, this image was obtained in the Solomon Islands), with all other images captured from the study site; B: White morph of a large (~180 mm TL) male S. cynocephalus grazing; C: Another large male (~200 mm TL) at the front of the crevice that it consistently occupied during active searches by researchers; D: A female S. cynocephalus in a crevice; E: S. lagocephalus in a small cave/crevice; F: A freshwater crab occupying a crevice. All images photographed with a Canon G10 still camera. Date of photographs. A: September 2015; B-E: 30 June, 2014; F: 18 September, 2014.
Figure 3 in Visual census, photographic records and the trial of a video network provide first evidence of the elusive Sicyopterus cynocephalus in Australia
Figure 3. – Number of Sicyopterus spp. observed at a second-by-second reso- lution on each of ten video cameras (a-j) based on a one-hour deployment in the field on 18 September, 2014.
Figure 1. – Study site. A in Visual census, photographic records and the trial of a video network provide first evidence of the elusive Sicyopterus cynocephalus in Australia
Figure 1. – Study site. A: Waterfall and bedrock section of stream immediately upstream of the plunge pool; B: Upper section of the plunge pool; C: Lower section of the plunge pool. All photographs taken from the right stream bank, and note that there is an underwater cave underneath the slab of rock upon which the photographer was standing.
Fast Deterministic Algorithms for Highly-Dynamic Networks (video)
Full video presentation of the paper: Fast Deterministic Algorithms for Highly-Dynamic Networks.<br><br>Appears in Session 4 of the 24th International Conference on Principles of Distributed Systems OPODIS 2020<br><a href="https://opodis2020.unistra.fr">https://opodis2020.unistra.fr</a>
Fast Hybrid Network Algorithms for Shortest Paths in Sparse Graphs (video)
Full video presentation of the paper: Fast Hybrid Network Algorithms for Shortest Paths in Sparse Graphs.<br><br>Appears in Session 4 of the 24th International Conference on Principles of Distributed Systems OPODIS 2020<br><a href="https://opodis2020.unistra.fr">https://opodis2020.unistra.fr</a>
Broadcasting with mobile agents in dynamic networks (video)
Full video presentation of the paper: Broadcasting with mobile agents in dynamic networks.<br><br>Appears in Session 1 of the 24th International Conference on Principles of Distributed Systems OPODIS 2020<br><a href="https://opodis2020.unistra.fr">https://opodis2020.unistra.fr</a>
YouTube recommended videos network from the Olavo de Carvalho vídeo "Globalismo e poder"
<p>This dataset structures a network of YouTube video recommendations from the Olavo de Carvalho conspiracy theory vídeo "Globalismo e poder". The data is structured as a graph, which could be constructured through the parameter "parentId". The graph includes 50,000 nodes, with id, title, thumbnail link and channel name.</p>
Appendix videos for PhD thesis: Characterisation of 3D networks and cell distributions in human lung tissue using correlative micro-CT and immunofluorescence
<p>Online repository of supplementary videos, detailed below, to compliment my PhD thesis.</p> <p><strong>A.7.1 Blood vessel segmentation with ITK-SNAP</strong></p> <p>Video showing the real time process of segmenting a blood vessel from µCT lung data using ITK-SNAP.</p> <p><strong>A.7.2. Lung 1 summary video</strong></p> <p>Video summary of the µCT data from method development tissue HL093 (Lung1) showing the 2D slices through the sectioned volume building into the 3D volume rendering. The segmentation of blood vessels (red) and Ck18 can also be seen in 2D and 3D.</p> <p><strong>A.7.3. Lung 2 summary video</strong></p> <p>Video summary of the µCT data from method development tissue HL098 (Lung2) showing the 2D slices through the sectioned volume building into the 3D volume rendering. The segmentation of blood vessels (red) and Ck18 can also be seen in 2D and 3D.</p> <p><strong>A.7.4. Non-COPD-5 Blood vessel thickness-3D</strong></p> <p>A 360° rotation of the 3D blood vessel thickness map of the Non-COPD-5 tissue seen in Figure 4.5.</p> <p><strong>A.7.5. COPD-4 Blood vessel thickness-3D</strong></p> <p>A 360° rotation of the 3D blood vessel thickness map of the COPD-4 tissue seen in Figure 4.5.</p> <p><strong>A.7.6. COPD-4 Full segmentation of sectioned volume</strong></p> <p>A 360° rotation of the full segmentation seen in Figure 5.18. The µCT volume has been made semi-transparent to visualise the segmentation of blood vessels (red), Ck18 (blue), dilated AA1-mast cells (pink) and dilated CD68-macrophages (yellow).</p>
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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.