Search Results for "extensible markup language"

When Microsoft rejects a proposed technology standard, it's usually a death knell. But with a recently adopted W3C standard for streaming audio and video files online, Microsoft is snubbing a standard that a majority of multimedia Web developers plan to adopt. In mid-June, the W3C announced the Synchronized Multimedia Integration Language (SMIL) -- a technology built in the eXtensible Markup Language (XML) that enables time-coded synchronization of audio and video clips online -- as a recognized standard. But shortly before its adoption, Microsoft

Streaming media heavyweight RealNetworks Inc. revealed its support for SMIL Boston, the latest draft of the Synchronized Multimedia Integration Language (SMIL) standard. RealNetworks' support means that users of the more than 1 million RealSystem G2 authoring tools and more than 50,000 free RealSystem G2 servers will be able to tap into the benefits of the new draft standard. The World Wide Web Consortium's (W3C) SMIL Boston draft standard will enable developers to deliver systems with television-programming-like features as well as the interactivity

DEFINITION - SMIL (Synchronized Multimedia Integration Language), is a language that allows Web site creators to be able to easily define and synchronize multimedia elements (video, sound, still images) for Web presentation and interaction. On today's Web, although you can send moving and still images and sound to a Web user, each element is separate from the others and can't be coordinated with other elements without elaborate programming. SMIL (pronounced "smile") lets site creators send multiple movies, still images, and sound separately but

W3C Working Draft 16 July 2007: Abstract This document is the specification of the Efficient XML Interchange (EXI) format. EXI is a very compact representation for the eXtensible Markup Language (XML) Information Set that is intended to simultaneously optimize performance and the utilization of computational resources. The EXI format uses a hybrid approach drawn from the information and formal language theories, plus practical techniques verified by measurements, for entropy encoding XML information. Using a relatively simple algorithm, which is