// Oprogramowanie Roman Ryltsov
As we see announcements for more and more powerful NPUs and AI support in newer consumer hardware, here is a new demo with Artificial Intelligence attached to a good old sample camera application based on the Microsoft Media Foundation Capture Engine API. This demo is a blend of several technologies: Media Foundation, Direct3D 11, Direct3D…
Serving MPEG-DASH differs from serving HLS but as long as you have video packaged in ISO BMFF segments, adding an option to also expose content as HLS (HTTP Live Streaming, RFC 8216) is not too difficult. Besides, being able to stream webcamera signal as MPEG-DASH using http://localhost/MediaFoundationCameraToolkit/Capture/manifest.mpd I also made it possible to use http://localhost/MediaFoundationCameraToolkit/Capture/master.m3u8…
Since the last demo appears to be quite nice, one another addition: ability to drop the internal memory video content of the application into MP4 file. As the application works and shows video preview, it keeps H.264/AVC version of the data in memory in the form of sliding window. Now you can just hit F8…
New series in demonstrations of what one can squeeze out of Windows Media Foundation Capture Engine API. This video camera capture demonstration application features a mounted MPEG-DASH (Dynamic Adaptive Streaming over HTTP) server. The concept is straightforward: during video capture, the application takes the video feed and compresses it in H.264/AVC format using GPU hardware-assisted…
In continuation of camera demos, one another build with Microsoft’s Video Stabilization MFT. In the context of Capture Engine applciation and use of the MFT as an effect, it is used in its defautl configuration, in particular without explicit low latency mode. This creates a noticeable delay in video transmission. Still, it is what it…
On occasion I hooked OpenCV Non-local Means Denoising to the Media Foundation camera capture test application already meantioned in previous posts. It is the regular, non-CUDA implementation wrapped into Media Foundation Transform so that it could be plugged directly into Media Foundation Capture Engine. Original implementation is taken from non-realtime denoised and hence the question…
While on it, a quick update to the previous post/application: