01847nas a2200169   4500008004100000245007000041210006800111260000900179300001200188490000600200520126000206653003401466653002901500100001701529700001401546856011701560       2008                        eng d00aModel-driven development of content-based image retrieval systems0 aModeldriven development of contentbased image retrieval systems  c2008  a81 - 910 v63 aGeneric systems for content-based image retrieval (CBIR), such as QBIC [7] cannot be used to solve domain-specific image retrieval problems, as for example, the identification of manuscript writers based on the visual characteristics of their handwriting. Domain-specific CBIR systems currently have to be implemented bottom up, i.e. almost from scratch, each time a new domain-specific solution is sought. Inspired by the recognition, that CBIR systems, although developed for different domain-problems, comprise similar-building blocks and architecture, the idea of adopting model-driven development techniques for generating CBIR systems was elaborated. To support the design of domain-specific CBIR-Systems on a conceptual level by reusing data structure and functional interfaces a framework model is developed, which can be used to derive concrete domain-specific CBIR models. A transformation approach for the generation of a platform-specific implementation on top of an object-relational database from the concrete conceptual model is proposed. Finally, how these techniques can be applied for the design of a CBIR system for the identification of music manuscript writers based on the visual characteristics of their handwriting is demonstrated.10aContent-based image retrieval10aModel-driven development1 aIgnatova, T.1 aHeuer, A.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-56849098357&partnerID=40&md5=3b61ca364dee9f708c17826e51dca87a