Lire 0.8 released

March 11, 2010 on 4:15 pm | Tags: , , , , , , | In General | 2 Comments

I just released LIRe v0.8. LIRe – Lucene Image Retrieval – is a Java library for easy content based image retrieval. Based on Lucene it doesn’t need a database and works reliable and rather fast. Major change in this version is the support of Lucene 3.0.1, which has a changed API and better performance on some OS. A critical bug was fixed in the Tamura feature implementation. It now definitely performs better :) Hidden in the depths of the code there is an implementation of the approximate fast indexing approach of G. Amato. It copes with the problem of linear search and provides a method for fast approximate retrieval for huge repositories (millions?). Unfortunately I haven’t tested with millions, just with tens thousands, which proves that it works, but it doesn’t show how fast.

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  1. Very cool, are you talking about the paper using Ball regions and searching based on them based on their probability of overlap? I was just going to do a bit more reading on it to see how it works, I guess I could just look at the code too =P

    Comment by Andrew — March 11, 2010 #

  2. I think what you mean is the approach called locality sensitive hashing, which is not the one implemented in lire. In our approach you describe a document by their neighbours, whereas the neighbours are interpreted as ranked list. With the footrule distance two ranked lists can be compared. Depending on the number of possible neighboure (reference objects) and the length of the ranked lists the performance can be enhanced quite a lot using an inverted file (like lucene :)

    Comment by Mathias Lux — March 19, 2010 #

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