I fixed it by going into vlc tools/preferences (then select show all) /Input/Codec/Access Modules/ and set it to file.i then went to tools/preference /input/codecs and set network default caching policy to higher latency, restarted vlc and it was fixed for me

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Reach out to your technology department and explain that you are trying to watch videos from TeachingChannel.org. Our videos are hosted by JW Player, which may be blocked by your network's firewall or content filter. You will need to unblock or whitelist:

There is a test page to help diagnose which domain(s) are getting blocked on your network. In cases where a firewall is blocking the requests, we expect that clicking on the second link (that appears under the player when the error message appears) will take you to a page loaded by your network's firewall, usually requiring authentication to proceed.

There are many supported video formats that can be uploaded to Microsoft Stream. Each video file is then encoded to a standard format with several different video qualities and sizes for playback. Stream (Classic) uses HTTPS unicast adaptive bitrate streaming (ABR) to dynamically select the best video playback quality based on the available network bandwidth and size of the video player.

During playback, the player adapts to fluctuations in network conditions and size of the player. When the available bandwidth is high, the player streams a high-quality version of the video. When the bandwidth drops, the player streams a low-quality version of the video. The quality and resolution of the video will also be proportional to the size of the player. If a viewer is watching on a smaller screen, they'll always get a smaller version of the video.

Stream (Classic) leverages the smart encoding and adaptive bitrate streaming to reduce network and internet traffic of video playback. However playback is a unicast stream. For live events or videos sent out to large portions of your organization, there could be a significant amount of internet bandwidth consumed by viewers.

Watching videos from Stream (Classic) happens over HTTPS therefore, normal web cache proxies can be configured to cache the video playback traffic. You may need to configure custom SSL certification to make this happen with HTTPS. However, if you look at a network trace while playing a video, you can see the URLs that Stream (Classic) uses to stream the video for your organization (URLs can vary by Stream (Classic) tenant). If you route those URLs through your cache proxy, it can cache the video traffic and reduce your internet traffic for often played videos.

Several video delivery eCDN solutions are pre-integrated and can be set up to be used with Stream. These eCDN platforms enable organizations to optimize network bandwidth without sacrificing end user viewing experiences. Our partners can help enable a more scalable and efficient video distribution across your enterprise network. See Scaling video delivery with 3rd party eCDN providers for more information.

Microsoft Stream (Classic) requires connectivity to the internet. All endpoints listed on Office 365 endpoints for Microsoft Stream need to be reachable by users of Microsoft Stream (Classic) within your organization's network.

To get a video feed for an External app or device produced live event sent to Microsoft Stream (Classic) from your encoder, you'll need the following IP ranges and ports open in your network's firewall:

If your specific network setup doesn't allow you to (or you don't want to) open up the domain range above, currently the only option to get specific IP addresses for the RTMP/RTMPS ingest, is to get the rotating IP ranges for the Azure data center that your Microsoft Stream (Classic) tenant is connected to.

Hi.

Infuse buffers when playing high nitrate videos (close to 100Mb/s) although the network is more than fast enough to cache files at a much higher bitrate.

That is on both Apple TV and iPad.

In both cases, the connection speed to the internet is more than 100Mb/s as said by the Speedtest app.

And a 90Mb/s 6 minute video copies in under 2 minutes from my NAS to my iPad using the Files app.

It stops after a while when playing from the NAS in Infuse on my iPad. It start again after some time, but with no sound. If I pause and play the video again, the sound plays again.

100Mbps is far less than my WiFi can handle, and the files play fine when stored locally on my iPad. They should work over wifi.

The Mac is a good place to test things. So on my 2018 13" MacBook Pro - to be retired next Tuesday - , connected via WiFi to my home network, the same 100Mbps video file:

With my MBP connected via Ethernet to a Wifi adapter, itself connected to the same wifi network as before, the same video file plays without buffering in Infuse from the library or the Files section.

And, it seems it's already paying off as they've seen a 3X increase in Facebook in-stream ads between June and December 2018. Similarly, The Washington Post, Forbes, CBS, and larger publishers have begun exploring alternate video advertising avenues, a.k.a. top video ad networks.

Video ad networks allow publishers to connect with thousands of buyers so that video ad impressions are transacted. The best video ad networks also provide publishers with the technology required to run, report, and optimize video ad campaigns.

Before delving into the most popular or the fastest-growing ad network, it's important to know that as a publisher, you should select an ad network that offers technological support and the expertise needed to fight against fraudsters.

The platform aggregates multiple video ad networks like Teads, OpenX, Primis, Magnite, etc. empowering publishers to connect with several video ad networks. It has partnered with over 350 publishers around the world while ensuring an average 55% increase in their revenue.

This ad network describes itself as an endless library, as it allows publishers to exert complete control over categories, channels, and keywords that prompt the display of relevant video ads. Meanwhile, the ads are carefully selected to maximize RPMs and improve video monetization.

The audience targeting of the video content served to users on the platform provides a better user experience than most ad server networks, so your ads will only be served to the highest quality audience.

OpenX is a video ad network that is available across all major video ad servers, video players, and integrations, including VAST tags, header bidding, and OpenRTB maximizing inventory value via open auctions and private marketplaces.

It has also proved to be a good option in over-the-top (OTT) media services (i.e., Netflix) and can run both in-stream and outstream video ads. In-content and in-content sticky are some of the top supported formats on this ad network.

Magnite is known as the world's largest independent sell-side ad platform as well as a curated programmatic advertising marketplace with a global demand to place video ads. Very few video ad networks enjoy the kind of reputation and recognition that the Rubicon video ad network does.

This video network also uses the latest video ad technology, including AI, to improve the delivery of rich media. Publishers who use Magnite are said to earn more revenue than publishers who use other ad networks. However, we do not have figures to test the claim.

The network runs outstream video ads and provides a bunch of reliable and user-friendly yield optimization tools to enhance revenue. Another benefit of this ad network is the freedom to micro-direct your own campaigns.

Unruly isn't like other options out there because the network does not require publishers to have video content to monetize since a large number of video ad units on the platform are displayed within the content.

Standard video has the potential to be a low-cost, easy-to-use alternative to monitor motion. Modern computational methods, including deep learning12, along with large publicly available datasets13 have enabled pose estimation algorithms, such as OpenPose14, to produce estimates of body pose from standard video across varying lighting, activity, age, skin color, and angle-of-view15. Human pose estimation software, including OpenPose, outputs estimates of the two-dimensional (2D) image-plane positions of joints (e.g., ankles and knees) and other anatomical locations (e.g., heels and pelvis) in each frame of a video (Fig. 1b). These estimates of 2D planar projections are too noisy and biased, due to manually annotated ground truth and planar projection errors, to be used directly for extracting clinically meaningful information such as three-dimensional (3D) gait metrics or treatment indications16. Investigators recently predicted cadence from 2D planar projections17, but their study included a population of only two impaired subjects and required carefully engineered features, limiting generalizability. Moreover, for predictions that are not directly explained by physical phenomena, such as clinical decisions, feature engineering is particularly difficult. To overcome these limitations, we used deep neural networks (machine learning models that employ multiple artificial neural network layers to learn complex, and potentially nonlinear, relationships between inputs and outputs), which have been shown to be an effective tool for making robust predictions in an impaired population compared with methods using hand-engineered features18. Our method capitalizes on 2D pose estimates from video to predict (i) quantitative gait metrics commonly used in clinical gait analysis, and (ii) clinical decisions. ff782bc1db

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