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Arboretum

The GBDI Arboretum is a portable C++ library which implements various metric access methods (MAM). By using this library, any application will be able to perform similarity queries (queries by contents) with the minimum efforts possible. Furthermore, it will provide a robust and uniform platform for MAM developers which allows fair comparisons among all methods implemented by this library. Click here to visit the Arboretum web site.

Siren

SIREN - (SI)milarity (R)etrieval (EN)gine - is a command language interpreter that adds similarity query capabilities in SQL. Web-SIREN is a web-based interface aiming exporting SIREN resources for internet access.

FastMapDB

The FastMapDB tool enables the creation of multidimensional mappings from data stored in Relational Database Management Systems (RDBMS), allowing the interactive visualization of the data in 3D representations, trying to preserve the distances among the objects. Some related documents about the tool are also available.

Dicomviewer

The Dicomlib is a C++ library to manipulate DICOM image files.

DBGen - DataBase Generator

The DBGen is a tool which enables synthesize of multi-dimensional data in spaces of any dimensionality, following geometric, statistical or fractal distribution, aiming to provide a rich palette of options for the analyst to drill their algorithms and analysis techniques.

iDFQL

The iDFQL (Interactive Data Flow Query Language) is a query-based tool to support the teaching/learning of relational algebra by using the flow diagram approach. Please check the available publications.

MamView

MamView is a visual tool for exploring and understanding metric access methods. A description of the tool is also available.

IDEA

To understand the IDEA method, please see the paper. You can download the Prototype IDEA working with a sample database (the ROI dataset described in the paper):

The buttons that are working are: “Load Medical Image”, “Suggest a Diagnosis” and the Option "Load Diagnosis from the File", that allows you to compare the diagnosis suggested by the method with the report given by the specialists.

MetricSPlat project

The MetricSPlat project is a project that combines visualization techniques and content-based data retrieval methodologies. Its goal is to raise a framework where the constituents that define the concept of metric space can be instantiated and tested. A metric space, in the context of content-based data retrieval, is understood as the integration of the following components:

  • extracted features
  • a metric access structure
  • a distance function

In MetricSPlat these constituents can be integrated with minimal effort allowing quick development and testing of techniques for content-based data retrieval. Download