Interoperability and Multimedia Archives

Dalen Kambur, Damir Becarevic, M. Roantree
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Abstract

In distributed computing systems, it is unwise to move data to the point of program code, but instead process data at the point of storage. This concept is even more appropriate to multimedia repositories where large files must be processed as a result of each retrieval operation. Two problems with multimedia databases are that they require a large volume of disk storage and processing power and that it is generally difficult to query video content or optimise the retrieval process. In the EGTV project, both of these issues are addressed. In the first case, the data server is distributed across multiple autonomous sites where users are permitted to modify schemas and in some cases the data model. In the second case, a mechanism for storing behaviour has been devised which allows functions such as retrieve_frame, retrieve_segment and retrieve_context to be implemented and stored at individual servers. This provides selective retrieval and thus, large data items can be processed locally to filter unwanted data before the transfer process must begin. In this way, storage of operations forms the basis for optimisation of retrieval content and volumes.
互操作性和多媒体档案
在分布式计算系统中,将数据移动到程序代码点是不明智的,而是在存储点处理数据。这个概念甚至更适合于每次检索操作都必须处理大文件的多媒体存储库。多媒体数据库的两个问题是,它们需要大量的磁盘存储和处理能力,并且通常难以查询视频内容或优化检索过程。在EGTV项目中,解决了这两个问题。在第一种情况下,数据服务器分布在多个自治站点上,允许用户修改模式,在某些情况下还允许修改数据模型。在第二种情况下,已经设计了一种存储行为的机制,允许诸如retrieve_frame, retrieve_segment和retrieve_context等函数在单独的服务器上实现和存储。这提供了选择性检索,因此可以在本地处理大型数据项,以便在必须开始传输过程之前过滤不需要的数据。通过这种方式,操作的存储构成了优化检索内容和卷的基础。
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