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机构地区:[1]华中师范大学信息技术系 [2]解放军63981部队
出 处:《计算机科学》2012年第9期9-13,27,共6页Computer Science
基 金:国家教育部人文社科基金项目(10YJC880113);湖北省自然科学基金项目(2011CDB163);华中师范大学中央高校基本科研业务费项目;中央高校基本科研业务费项目(CCNU10B01003)资助
摘 要:通用多媒体内容访问是未来多媒体服务的常用模式。针对这一访问模式,MPEG-21提出了DIA技术框架,以期实现相关技术标准化。但是,DIA现在只对上下文描述等元数据制定了标准,而适配决策引擎仍然是一个开放问题。针对已有适配决策模型存在的问题,提出了一种适配决策树模型,该模型将适配决策视为序列决策,并用决策树对其建模。为满足多媒体服务的个性化需求,利用用户偏好信息建立适配决策树。此外,利用优化模型构建决策空间,使参与决策的对象数缩小为模态数,从而减少了适配决策时间,满足了多媒体服务的实时性。通过仿真实验证明,该适配决策树模型在决策误差和平均迭代次数两个指标上都优于或相近于已有的适配决策模型。In the future,universal multimedia access will become the mainstream service pattern of multimedia service via networks.Aiming at the access pattern,the MPEG-21proposed the digital item adaptation(DIA)technique architecture to standardize the related techniques.However,DIA specifies some metadata such as context description only.The key adaptation decision-taking engine is still an open question left.Considering the shortcomings of existing adaptation decision models,the paper proposed a model named adaptation decision-taking tree(ADT)which looks upon adaptation decision as sequence decision and the decision tree is employed to model the decision process.To meet the personalized demand in multimedia services,the ADT was constructed by user preferences.In addition,by using optimal model to create the decision space,which deduces the numbers of decision candidate,were deduced,and the decision time was cut observably,and the demand of real time was satisfied.Based on simulation,it can be concluded that the result of ADT is better than or similar to that of existing models in decision error and average iteration.
关 键 词:适配决策引擎 适配决策树 数字项适配 多媒体服务
分 类 号:TP37[自动化与计算机技术—计算机系统结构]
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