Update README.md

README.md

@@ -3,7 +3,7 @@
     <img src="https://gitlab.nrp-nautilus.io/ar-noc/arno_images/-/raw/main/ARNO_imgs/ARNO.png" width="50%" height="50%">
 </p>
 
-[![Watch the video](https://img.youtube.com/v=G4P6cc3vq7I&t=1s/maxresdefault.jpg)](https://www.youtube.com/watch?v=G4P6cc3vq7I&t=1s)
+[![Watch the video](https://img.youtube.com/vi/G4P6cc3vq7I&t=1s/maxresdefault.jpg)](https://www.youtube.com/watch?v=G4P6cc3vq7I&t=1s)
 
 Built upon the [Pacific Research Platform (PRP)](https://pacificresearchplatform.org/) network, UC San Diego’s [Clarke Center for Human Imagination](http://imagination.ucsd.edu/) and the [Qualcomm Institute](https://qi.ucsd.edu/) are developing server-side rendering tools and deployment of Unreal-based game experience to scale the Metaverse AR/VR hardware needs into a distributed system, enabling a campus-wide XR test bed as part of developing a global Augmented Reality Network Observatory (ARNO) networking visualization system. XRNOC represents the third generation of big data visualization, realized through persistent, procedurally rendered simulations produced from live data at global scale via Epic Game’s [Unreal Engine](https://www.unrealengine.com/en-US/).