DelosDLMS is a prototype of a next-generation Digital Library (DL) management system. It is realized by combining various specialized DL functionalities provided by partners of the DELOS network of excellence. Currently, DelosDLMS combines text and audiovisual searching, offers new information visualization and relevance feedback tools, provides novel interfaces, allows retrieved information to be annotated and processed, integrates and processes sensor data streams, and finally, from a systems engineering point of view, is easily configured and adapted while being reliable and scalable. The prototype is based on the OSIRIS/ISIS platform, a middleware environment developed by ETH Zürich and now being extended at the University of Basel.

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The Image Distortion Model (IDM) has previously shown good retrieval quality. However, one of the limitations that may limit its use in a wider range of applications is computational complexity. In this paper, we present an approach that applies several optimizations to decrease the retrieval time of IDM without degrading the quality of query results. We were able to perform the IDM in less than 1.5 seconds per query on an 8-way server and 16 seconds on a standard Pentium 4. In particular, the early termination strategy we applied contributed a speedup of up to 4.9. We also extended the possible displacements to an area of 7×7 pixels with a local context of up to the same size. The results submitted to the medical automatic annotation task of Im-ageCLEF'2007 were ranked in the upper third. Most importantly, the proposed techniques are not limited to IDM but can also be applied to other expensive distance measures.

This demo will interactively show a system that exploits a novel user interface, running on Tablet PCs or graphic tablets, that provides query-by-sketch based image retrieval using color sketches. The system uses Angular Radial Partitioning (ARP) for the edge information in the sketches and color moments in the CIELAB space, combined with a distance metric that is robust to deviations in color as they usually need to be taken into account with user-generated color sketches.