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Library and frontend engine for performing Image Retrieval tasks.
The GRire library is a light-weight but complete framework for implementing CBIR (Content Based Image Retrieval) methods. Currently, the main objective of the project is the implementation of BOVW (Bag of Visual Words) methods so, apart from the image analysis tools, it offers methods from the field of IR (Information Retrieval), e.g. weighting models such as SMART and Okapi, adjusted to meet the Image Retrieval perspective.
A content based image retrieval (CBIR) system in Scilab
This is the first version of kannan Balakrishnans scicbir project.This is a content based image retreival (CBIR) system in SCILAB.
Released under GNU GPL, this system is very flexible.
Openbaar constitutes a client for the Multimedia Retrieval Markup Language (MRML), specifically for servers implementing the Gnu Image Finding Tool (GIFT) for content based image retrieval (CBIR), for usage by eye tracker or alternatively mouse.
This library implements self-organizing neural networks, also called Kohonen Nets. They can be used for high dimensional data analysis. Example: content based image recognition ( CBIR ).