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A graphical interface to take advantage of screen estate on high definition televisions and digital signage built in C/C++ and GDI coupled with a server built in PHP (Zend Framework) for the administration interface and the system's backend.
ProjiCast is a Java application for displaying pictures, slideshows and video files on a screen. ProjiCast uses a server and client architecture where the client controls the server which displays the files requested by the client. Uses Mplayer to display
Java utility classes to perform high quality image down-scaling, rotation and crop of jpeg images using JAI (Java Advanced Imaging) The project includes an HTML 5 canvas to define cropp parameters on a client, for server side generation of high quali
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
If you want to do a drawing, you want a drawing program. If you want to write text, you want a text editor. If you want to show them, you want Liveshow Realtime Media Presenter.
Salto framework is an AJAX based framework which makes possible to build a Web application very quickly.
Thanks to AJAX mechanism, datas exchanges between client side an server side are reduced. You are able to refresh only a part of the screen.
Java applet used to make graphical teleconferences (like
the whiteboard in Netmeeting). When you draw something on your table,
all remote users can see it. It features a client-server architecture
and a high-color palette. Keywords: java blackboard
PhotoCloud is a tool to browse and a navigate for datasets composed of (a) a collection of registered images and (b) a 3D model over which images are aligned. The 3D model can be a point-cloud, triangle mesh. PhotoCloud is based on a client/server architecture and it is scalable: very large dataset (both in terms of (a) and (b) can be handled.