Hierarchical linear subspace indexing method
Traditional multimedia indexing methods are based on the principle of hierarchical clustering of the data space, in which metric properties are used to build a tree that then can be used to prune branches while processing the queries. However, the performance of these methods will deteriorate rapidly when the dimensionality of the data space is increased.
Based on the generic multimedia indexing (GEMINI) approach and lower bounding methods a hierarchical linear subspace indexing method will be described, which does not suffer from the dimensionality problem. The hierarchical subspace approach offers a fast searching method for large content-based multimedia databases.
The approach will be demonstrated on image indexing, in which the subspaces correspond to different resolutions of the images. During content-based image retrieval the search starts in the subspace with the lowest resolution of the images. In this subspace the set off all possible similar images is determined. In the next subspace additional information corresponding to a higher resolution is used to reduce this set. This procedure is repeated until the similar images can be determined eliminating the false candidates.
The developed methods of analysis can be generalized for all means of content-based access methods that are based on information loss techniques, like for example hierarchical clustering which relies on stepwise digitalization of the space rather then the reduction of its dimension.
Date: 2006-Mar-10 Time: 14:00:00 Room: 336
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Workshop “Metabolism and mathematical models: Two for a tango” – 2nd Edition
Title: Workshop Metabolism and mathematical models: Two for a tango – 2nd Edition
Dates: October 25-26, 2022
Location: This workshop will be held in a virtual way
The topic of this workshop is metabolism in general, with a special focus, although not exclusive, on parasitology. Besides an exploration of the biological, biochemical and biomedical aspects, the workshop will also aim at presenting some of the mathematical modelling, algorithmic theory and software development that have become crucial to explore such aspects.
This workshop is being organised in the context of two projects, both with the Inria European Team Erable. One of the projects involves a partnership with the University of São Paulo (USP), in São Paulo, Brazil, more specifically the Institute of Mathematics and Statistics (IME) and the Institute of Biomedical Sciences – Inria Associated Team Capoeira – and the other involves the Inesc-ID/IST in Portugal, ETH in Zürich and EMBL in Heidelberg – H2020 Twinning Project Olissipo.
The workshop is open to all members of these two projects but also, importantly, to the community in general.
The program and more details are available here.