跨媒体组合方法研究

大数据时代以多媒体计算为基础的跨媒体计算技术已成为信息技术研究的热点。但是,对跨媒体的获取、组合和应用仍缺乏有效的方法。提出了两种跨媒体组合方法。以开发跨媒体在线二叉树遍历课程为例。第一种方法以Web服务的模式,引用多种类型多媒体数据,将其以服务组合的方式进行拼接,从而构成跨媒体服务。第二种方法是基于本实验室团队自主研发的PAR平台中的"New SQL"技术与Apla语言程序,使用PAR平台的多媒体数据库技术实现对跨媒体数据的存储和检索,进而构成Apla语言程序,实现部署在云端的多媒体服务,有效地解决了跨媒体的组合与存储问题。

Cross-media composition methods

Cross media calculation technology based on multimedia calculation has become a hotspot of information technology research in the era of big data. However, we are short of effective ways for cross media acquisition, composition and applications. We present two different cross media composition methods, and exploit the course of cross media traversing binary trees. The first method utilize the web service model which utilizes multiple multimedia data and joins them as a service composition, thus constituting cross media services. The second one based on the "New SQL" technology and Apla language program developed by our own PAR design platform, utilizes the multimedia database technology of PAR platform to implement the storage and retrieval of cross media, and generalizes the Apla language program. Thus, the multimedia service deployed in cloud can be realized, and the problem of cross media composition and storage is efficiently solved.