SemanticMetadata.net » Release

Lire and Lire Demo v 0.9 released

Mathias Lux — Thu, 20 Oct 2011 11:37:23 +0000

I just released Lire and Lire Demo in version 0.9 on sourceforge.net. Basically it’s the alpha version with additional speed and stability enhancements for bag of visual words (BoVW) indexing. While this has already been possible in earlier versions I re-furbished vocabulary creation (k-means clustering) and indexing to support up to 4 CPU cores. I also integrated a function to add documents to BoVW indexes incrementally. So a list of major changes since Lire 0.8 includes

Major speed-up due to change and re-write of indexing strategies for local features
Auto color correlation and color histogram features improved
Re-ranking filter based on global features and LSA
Parallel bag of visual words indexing and search supporting SURF and SIFT including incremental index updates (see also in the wiki)
Added functionality to Lire Demo including support for new Lire features and a new result list view

Download and try:

Source and binaries (or as tar.bz2)
Lire Demo

Lire Demo 0.9 alpha 2 just released

Mathias Lux — Fri, 05 Aug 2011 10:41:46 +0000

Finally I found some time to go through Lire and fix several of the — for me — most annoying bugs. While this is still work in progress I have a preview with the demo uploaded to sf.net. New features are:

Auto Color Correlogram and Color Histogram features improved
Re-ranking based on different features supported
Enhanced results view
Much faster indexing (parallel, use -server switch for your JVM)
Much faster search (re-write of the searhc code in Lire)
New developer menu for faster switching of search features
Re-ranking of results based on latent semantic analysis

You can find the updated Lire Demo along with a windows launcher here, Mac and Linux users please run it using “java -jar … ” or double click (if your windows manager supports actions like that

Download Liredemo v0.9 alpha 2

The source is — of course — GPL and available in the SVN.

Lire 0.8 released

Mathias Lux — Thu, 11 Mar 2010 15:15:33 +0000

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.

Links

Download Lire & Lire Demo

Lire v0.8 is on its way … just some more tests

Mathias Lux — Wed, 10 Mar 2010 14:32:26 +0000

I just checked in my latest code for LIRe and it looks like it’s nearly v0.8 release ready. Major changes include the use of Lucene 3.0.1, some bug fixes on descritors, several new test files (including one that shows how to do an LSA with image features) and of course an updated demo application. While everything needs a bit more testing as well as an documentation update, I can offer a pre-compiled demo here. All changed and added sources can be found in the SVN.

Links

SVN URL and description
LireDemo v 0.8 (preview, bin + src)

LIRE v0.6 released: New Image Features

Mathias Lux — Mon, 09 Jun 2008 14:35:47 +0000

The new release contains three additional features: (i) Tamura texture features, (ii) Color and Edge Directivity Descriptor (CEDD) and (iii) a configurable color histogram implementation. While the last one was integrated for comparison only the other two provide additional improvements, especially the CEDD feature. Furthermore a FastMap implementation was included in the release for optimization of the indexing process in a later release. Also some bugs were fixed in the MPEG-7 EdgeHistogram descriptor provided in the cbir-library jar file and in color-only search. Note that due to the increased number of features the extensive document builder, which extracts all available features, needs significantly more time for extraction than in the last release.

Links:

Download Lire & LireDemo