Adaptation methods for scalable graphics and animation on constrained devices

提出的研究方案需要基于动态可变的上下文信息来适应可扩展的多媒体内容。这里所讨论的可缩放媒体是一个单一的“高质量”媒体文件（即至少包含其自身的最佳版本的文件，例如1080p视频），它能够在空间上、时间上和信噪比上按比例缩小。这种扩展可以通过增量方案和/或冗余信息的存储来实现；然而，最终目标是获得一个高度压缩的文件，其中包含非常高的可伸缩性（尽管这可能最终无法实现）。上下文信息依赖于应用程序，但通常包含一系列信息，包括终端设备（如移动电话）的功能和条件、网络连接，甚至用户的限制和功能。为了向用户提供适当的服务，上下文通常被认为是一个动态输入，根据环境、网络条件、终端设备上正在执行的其他应用程序等而变化。适应过程通常会基于所提供的情境信息做出模糊决策（与直接的二元决策相反），并相应地正确地扩展媒体（并希望动态地与情境变化相关），从而将可扩展媒体与情境联系在一起。

The proposed program of research entails the adaptation of scalable multimedia content based on dynamically variable contextual information. The scalable media in question is a single "high-quality" (i.e. a file which contains at least the best version of itself; e.g. 1080p video) media file that is able to scale down spatially, temporally, and in terms of its signal-to-noise ratio. This scaling can be achieved through an incremental scheme and/or the storage of redundant information; however the ultimate goal is to obtain a highly compressed file containing a very high degree of scalability (although this may not be ultimately achievable). Contextual information is application dependent, but generally comprises a range of information including the capabilities and condition of the terminal device (such as a mobile phone), the network connection, and even the user's restrictions and capabilities. In order to provide a proper service to a user the context is generally considered as a dynamic input, changing according to the environment, network conditions, other applications being executed on the terminal device, etc. The adaptation process essentially connects scalable media and context together often by making a fuzzy decision (as opposed to a direct binary decision) based on the contextual information provided and correctly scaling the media accordingly (and hopefully dynamically relating to the contextual changes).