摘要
针对UPnP AV如何根据AV播放环境进行内容适应的问题,提出一种基于上下文感知的内容适应算法CBCAA。首先获取AV播放环境上下文信息并进行分类;然后根据不同类型的上下文信息构建约束模型,利用约束满足求解方法得到相应的媒体内容描述决策集MDDS;最后将媒体源码按MDDS的描述转码,得到适应上下文要求的媒体内容目标码。CBCAA算法能够实现UPnP AV对AV播放环境的内容适应,从而提供智能多媒体服务。仿真实验表明了该算法的有效性。
The content adaptation based on context in UPnP AV is investigated. A Context-based Content Adaptation Algorithm (CBCAA) is proposed. First, the algorithm obtains and classifies the context information. Then it builds the constraint model according to the different types of information, and the constraint satisfaction method is used to acquire Media Description Decision Set (MDDS). Finally, a bit-stream adaptation engine transcodes the media from source media to object media based on MDDS. CBCAA enables UPnP AV adapt the content to environment and provides intelligent services. Simulation results demonstrate the effectiveness of proposed algorithm.
出处
《吉林大学学报(工学版)》
EI
CAS
CSCD
北大核心
2014年第5期1441-1446,共6页
Journal of Jilin University:Engineering and Technology Edition
基金
国家科技重大专项项目(2013ZX03005011)
关键词
计算机应用
上下文感知
内容适应
约束满足问题
computer application
context awareness
content adaptation
constraint satisfaction problem