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- W2381224797 abstract "Content based retrieval of multimedia objects is always considered as one of the most challenging problems. Researchers from several areas, such as multimedia, database and information retrieval communities, are spending much of their efforts on the related problems. However, the results obtained are not satisfied by either the researcher themselves or the public users. The difficulties may be caused by the ill support of multi view interpretations of multimedia data with the current pattern recognition technologies. In this paper, we separate the raw multimedia data from its domain knowledge. 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, We use 'Frame' to model the domain concepts, which are abstracted from multimedia data, and 'Sub Frame' to represent the sub concept 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. In an application, a user may use some more abstract or more specific concepts for his queries, or he may use a synonym of a standard concept in his queries. CDB/M uses 'Semantic Network' to represent 'IS _A' and 'SYN' relationships of the domain concepts. There are some radical differences between multimedia retrievals and the traditional retrievals. For multimedia data, users are often interested in using visual or fuzzy descriptions for their queries. 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 inputted 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. In this paper, we also investigate 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." @default.
- W2381224797 created "2016-06-24" @default.
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- W2381224797 date "2002-01-01" @default.
- W2381224797 modified "2023-09-25" @default.
- W2381224797 title "Content-Based Retrieval of Multimedia Objects Related to Domains" @default.
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