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Summary form only given. Advances in data storage and image acquisition technologies have enabled the creation of large image datasets. In order to deal with these data, appropriate information systems (e.g., image digital libraries) have been developed to efficiently manage such collections. One of the most common retrieval approaches is to employ so-called content-based image retrieval (CBIR) systems. Basically, these systems try to retrieve images similar to a user-defined pattern (e.g., image example). Their goal is to support image retrieval based on content properties (e.g., shape, color, or texture), which are often encoded in terms of image descriptors. This demonstration presents a new CBIR system based on configurable components. The main novelty resides in its content-based image search component (CBISC) that supports queries on image collections. CBISC is based on the OAI (H. Suleman et al. (2003)) principles, and thus provides an easy-to-install search engine to support querying images by content. As with the OAI protocol, queries are posed via HTTP requests and the responses are encoded in XML.