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Lire 0.8 released

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

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)

Best Paper Award

“SPCD – SPATIAL COLOR DISTRIBUTION DESCRIPTOR – A Fuzzy Rule based Composite Descriptor Appropriate for Hand Drawn Color Sketches Retrieval” received the best paper award at the 2nd International Conference on Agents and Artificial Intelligence (ICAART), Valencia-Spain, January 22-24, 2010.

Congratulations to Savvas!

Links

• Original post

Lire: Submission to the ACM Multimedia Open Source Contest 2008

I recently submitted Lire and LireDemo to the ACM Multimedia Open Source Software Competition 2008. As I’d really like to go there I hope it will judged as relevant contribution and a demo at the ACM Multimedia is requested. Note that I’ve integrated a new feature in LireDemo for the ACM Multimedia submission: Now its easier to test Lire by just indexing random photos from Flickr. By just hitting the “Index” button without giving a directory of images the download will start automatically.

Links:

• Submission files (~800 kB)

Lire development: a big next step ..

While it has been quiet for some time around Lire, recently development has been pushed forward. I switched to SVN for development and integrated simple RGB color histograms as a feature for comparison with the MPEG-7 features. Savvas Chatzichristofis (or on facebook, his image search engine) contributed the CEDD feature, which works great! Marko Keuschnig and Christian Penz contributed implementations for the Gabor texture feature and the Tamura texture features, where the latter is already in the SVN. I also integrated the new features in LireDemo. A new version – already compiled – can be downloaded here: liredemo-svn-2008-05-29-jdk16.tar.bz2 Note that Java 1.6 is required.

img(Anaktisi) Image Search Engine

Since Blobworld was down I was hoping for a new online CBIR system to show in lectures. Last week I received word about the img(Anaktisi) image search engine from Savvas Chatzichristofis. This search engine is based on 2 new content based descriptors that combine color and edge features. The results look promising!

There is also an offline sketch based retrieval system being developed. A screencast can be found on YouTube.

Related Links

• img(Anaktisi) online image search
• img(Paint.Anaktisis) offline sketch based cbir screencast (via YouTube)
• Savvas’ blog