摘要
该文通过对多媒体对象领域知识特点的分析 ,指出了领域属性与多媒体对象分离的必要性 ,对多媒体对象的领域属性进行了分类 ,采用框架 (frame)结构作为领域知识的表示模型 ,利用语义网表示领域概念之间的分类关系以及同义关系 ,并用上下文 (context)记录了特定用户更细的辅助知识 ,包括多媒体相似阈值刻画、模糊值的描述以及用户查询反馈等参数 .该文还给出了多媒体对象相似的计算公式 ,分析了多媒体基于内容查询的各种类型 。
The raw multimedia data is separated from its domain knowledge in this paper. Thus, different application domains can share the raw multimedia resources at great extent. By this way, the multi-view property of multimedia can be easily supported. In CDB/M, Frame is used to model the domain concepts, which are abstracted from multimedia data, and Sub Frame to represent the subconcept of another concept. Therefore, the PART_OF relationships among the domain concepts can be well modeled. Besides the PART_OF relationships, each concept may have independent attributes Mi and derived attributes Fj, which respectively represent user input annotations and visual features of multimedia data. However, different users may have large disparities in their specifying the similarity thresholds and fuzzy values of multimedia data. To solve this problem, CDB/M maintains a Context for each of the users of the system. As a matter of fact, the system provides a Context template, whose parameters can be input and modified by the individual users according to their special requirements. In many situations, a user needs visual similarities in sub-concepts other than the whole multimedia object. The hierarchical structures of domain concepts in CDB/M can easily support this problem. This paper also investigates multimedia query processing procedures. Two kinds of index, traditional B+ tree for simple comparisons and VP tree for visual similarities, are employed by the system in order to increase its searching speeds.
出处
《计算机学报》
EI
CSCD
北大核心
2002年第1期63-72,共10页
Chinese Journal of Computers
基金
国家自然科学基金 (69983 0 11)资助
