SCULPTEUR: Multimedia Retrieval for Museums

The paper describes the prototype design and development of a multimedia system for museums and galleries. Key elements in the system are the introduction of 3-D models of museum artefacts together with 3-D as well as 2-D content based retrieval and navigation facilities and the development of a semantic layer, centred on an ontology for museums, which aims to expose the richness of knowledge associated with the museum collections and facilitate concept based retrieval and navigation integrated with that based on content and metadata. Interoperability protocols are designed to allow external applications to access the collection and an example is given of an e-Learning facility which uses models extracted to a virtual museum.

[1]  Marc Rioux,et al.  Nefertiti: a query by content software for three-dimensional models databases management , 1997, Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134).

[2]  Tsuhan Chen,et al.  Efficient feature extraction for 2D/3D objects in mesh representation , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[3]  Francoise J. Preteux,et al.  Hough transform-based 3D mesh retrieval , 2001, SPIE Optics + Photonics.

[4]  Francis Schmitt,et al.  Silhouette and stereo fusion for 3D object modeling , 2003, Fourth International Conference on 3-D Digital Imaging and Modeling, 2003. 3DIM 2003. Proceedings..

[5]  Hugh C. Davis,et al.  Towards Multimedia Thesaurus Support for Media-based Navigation , 1998, Image Databases and Multi-Media Search.

[6]  Paul H. Lewis,et al.  SCULPTEUR: Towards a New Paradigm for Multimedia Museum Information Handling , 2003, SEMWEB.

[7]  Paul H. Lewis,et al.  Query by Fax for Content-Based Image Retrieval , 2002, CIVR.

[8]  Gail McMillan,et al.  Open Archives Initiative , 2000 .

[9]  Bernard Chazelle,et al.  Matching 3D models with shape distributions , 2001, Proceedings International Conference on Shape Modeling and Applications.

[10]  Mark J. Weal,et al.  A flexible architecture for content and concept based multimedia information exploration , 1999 .

[11]  Thomas A. Funkhouser,et al.  The Princeton Shape Benchmark , 2004, Proceedings Shape Modeling Applications, 2004..

[12]  Francis Schmitt,et al.  Silhouette and stereo fusion for 3D object modeling , 2003, Fourth International Conference on 3-D Digital Imaging and Modeling, 2003. 3DIM 2003. Proceedings..

[13]  Stephen Chi-fai Chan,et al.  Handling Sub-Image Queries In Content-Based Retrieval of High Resolution Art Images , 2001, ICHIM.

[14]  Martin Doerr,et al.  Definition of the CIDOC object-oriented Conceptual Reference Model and Crossreference Manual , 2002 .

[15]  Marcel Worring,et al.  Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Wei-Ying Ma,et al.  Image and Video Retrieval , 2003, Lecture Notes in Computer Science.

[17]  Paul H. Lewis,et al.  Integrated Image Content and Metadata Search and Retrieval across Multiple Databases , 2003, CIVR.

[18]  Michael Elad,et al.  Content Based Retrieval of VRML Objects - An Iterative and Interactive Approach , 2001, Eurographics Multimedia Workshop.

[19]  Henrik Eriksson,et al.  The evolution of Protégé: an environment for knowledge-based systems development , 2003, Int. J. Hum. Comput. Stud..

[20]  Fazly Salleh Abas,et al.  Craquelure analysis for content-based retrieval , 2002, 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628).