Apple's QuickTime multimedia architecture has some features that can be exploited through server-side scripting and HTML embedding, but it's something of a black art. There is confusion and inconsistency in how best to embed QuickTime in Web pages, deal with QTVR, let movies talk to each other, pass XML QTLists back and forth between movies and servers, and much more. PEAR::QuickTime hopes to expose this in a clean and elegant way so that QuickTime can reach the audience it deserves. It aims to provide a simple and consistent interface to these features through a set of PEAR-compatible PHP classes and functions.
libvcvideo is targeted as a super-simple cross platform video device library. It's starting with the most basic features and building up, all while keeping a simple API and strong documentation for beginners. Currently only select devices are supported, but as more hardware becomes available that will change. Right now it only has limited compatibility with Linux Webcam devices that use the original V4L specifications and output RGB24 data. This is actually a very large set of devices, as that is the generic description for most spca5xx and gspca devices. Though incomplete, if you have the right device it is very simple. Counting variable declaration, you only need four lines of library code to get a frame from a camera.
LikeTelevision's Dynamic Ad Casting software is an automated video insertion solution that manages content programming. It allows on-demand video content to be controlled to create a television-like experience through insertion of commercial advertising spots. It features total control: the administrator can design and customize the Playlist Template in any way desired. Different spots and commercials can be inserted with total control and then applied universally to even the largest libraries of video clips. Demographic modules can be integrated into the system for audience demographic targeting! The media formats supported include Real Media, Windows Media, MP3, MPEG-1, MPEG-2, and more. It is optimized for the L.A.M.P. platform.