KMi Seminars
Morpholingua: Shape Language and its application to Archaeology
This event took place on Monday 30 April 2007 at 11:30

 
Frederic Fol Leymarie Digital Studios, Department of Computing, Goldsmiths, University of London

I will describe the elements of a shape language for 2D and 3D objects, and illustrate its potential in particular in the field of archaeology. This early version of a shape language builds on the work and collaboration from the fields of Engineering, Applied Mathematics, Computational Geometry, Visual Perception, Arts and the Humanities. It is based on a representation for shapes taking the form of graphs, called "shock graphs" in 2D and "shock scaffolds" in 3D. These incorporate ideas from well-known concepts such as the "medial axis" of H. Blum (pattern recognition), Voronoi diagrams and recent results from Singularity theory. I will illustrate the use of theses graphs in various applications, with a focus on the field of archaeology, which is supported by an on-going collaboration with Brown University's Archaeology group and their internationally re-known work at the site of the Great Temple of Petra, Jordan.

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KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

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