普适计算中基于上下文的媒体适应

Zhijun Lei, N. Georganas
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引用次数: 89

摘要

在普及计算应用中,计算机嵌入式设备用于执行控制任务和访问Internet或其他信息源。然而,当前信息源的大多数内容都是在桌面计算机和高速网络连接的情况下设计的。它们包含富媒体数据,不适合那些功能有限的普及设备。此外,对于不同的用户偏好和应用程序场景,并非所有数据都与应用程序相关且至关重要。基于情境的媒介适应主要是选择单一媒介类型的不同品质,或者选择不同的媒介类型,然后将信息传递到不同的情境中。讨论了构建基于上下文的通用媒体适应框架的一些相关问题。这些问题包括上下文描述和交换方案、管理和操作多媒体内容的适应性模型、适应技术和体系结构问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Context-based media adaptation in pervasive computing
In pervasive computing applications, computer embedded devices are used to perform control tasks and access the Internet or other information sources. However, most content of current information sources was designed with desktop computers and high-speed network connections in mind. They contain rich media data, which are not suitable for those pervasive devices with limited capabilities. Moreover, for different user preference and application scenarios, not all of the data are relevant and critical to the application. Context-based media adaptation is mainly concerned with selecting different qualities of single media types or selecting different media types, and then delivering information to different context. Some related issues for building a general context-based media adaptation framework are discussed. These issues include context description and exchange schemes, adaptable model for managing and manipulating multimedia content, adaptation techniques and architectural issues.
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