Abstract: There has been significant progress in the area of content- based still image retrieval systems. However, most of the existing visual information system use static feature analysis models decided by database implementers based on heuristics, and adapting indexing oriented data modeling. In other words, such system fall short in a number of areas including scalability, extensibility and adaptability. In this paper, we will attempt to resolve the problems that surface in content modeling, description and sharing of distributed heterogeneous multimedia information. A language; named UCDL, for heterogeneous multimedia content description is presented to resolve the related problem. The resulting UCDL facilitates a formal modeling method of complex multimedia content, a unified content description scheme, and the exchange of heterogeneous content information. The proposed language has several advantages. For instance, an individual user can easily create audio- vidual descriptions by using a library of automated tools. Users can do automated testing of content description for correctness and completeness before populating the data base and its use. Note that with UCDL, content description becomes implementation independent, thus offering portability across a number of applications from authoring tools to database management systems. Users can have personalized retrieval view through content filtering, and can easily share the heterogenous content descriptions of various information sources. !16
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