Category Archives: Lire

Video summary generation as open source

As mentioned in a previous post I’m working with colleagues on a video summary tool, which extracts still images from a video. The goal of the tool is to find frames, which describe the image in an optimal way. Now it’s in a (rather) stable state and ready to release. For Windows users it should be a single click to start the thing, for Linux you need to install ffmpeg. Note that the tool is open source & the code is GPL-ed 🙂

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Lire 0.7 Released

Lire 0.7 is a major release fixing a lot of bugs and introducing several new features including new descriptor, a simplified way to use descriptors by introducing new generic searchers and indexers as well as an generalized interface for image descriptors. There are also several improvements in indexing and search speed (especially in autocolorcorrelogram). Furthermore retrieval performance was optimized based on the Wang 1000 data set. If you use Lire 0.7 to update an existing version, please make sure that your indices are created newly from scratch. All new features have also found their way into LireDemo, which now also supports multi-threaded indexing.
Thanks for comments, code and general comments go again to Savvas Chatzichristofis, Rodrigo Carvalho Rezende, Marko Keuschnig, Christian Penz, Oge Marques, Anna-Maria Pasterk and Christoph Kofler.

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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.

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LIRE v0.6 released: New Image Features

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.

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Lire SVN build for Java 1.5

Due to requests I took some time and built a Java 1.5 version instead of the 1.6 versions. A simple compile with 1.5 wouldn’t help as I use the swing layout classes of NetBeans (now integrated in Java 1.6), so imports have to be re-adjusted and the library has to be added. Furthermore I created an explicit build target in Caliph to create a 1.5 version of the cbir jar file. This snapshot works fine with MacOS (as far as I’ve heard) and on Windows.

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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.

Caliph, Emir and Lire development switched to subversion

Today I did something I should have done a long time ago: I switched (within sf.net) from cvs to subversion. Now login, update and commit are much faster and development gets easier. If you are interested you can browse the repository here: http://caliph-emir.svn.sourceforge.net/viewvc/caliph-emir/. If you want to check out and get the code, then you can find the documentation on sf.net.

Image Mosaics with Ajax

Did you ever think image mosaics in a web application are something that can only be rendered on server side? Well a very interesting post gives an example for the generation of image mosaics with JavaScript and Ajax. The authors employs a JavaScript binary file reader and uses the raw values from greyscale BMPs to find the mosaic. The approach for mosaic creation is simply yet effective: The overall luminance of an image is taken as “single value descriptor” and single pixels are substituted by very small BMPs.

Related Links:

  • Ajax mosaic builder – The blog entry describing the Ajax way of mosaic creation
  • Lire Demo – The offline way for image mosaic creation (also featuring colored images and formats different from BMP)

Statistics on Caliph, Emir and Lire

Today I created a presentation on Caliph and Emir and I looked up how long these open source projects are now part of my (online & research) life. In July 2004 I put the first open source version of Caliph & Emir online and ~ 6.700 downloads happened from then till now. Furthermore the Java Web Start files of Caliph and Emir were accessed about 1.300 times. Lire was more successful: Going online in 2006 it was ~3.600 times download till now.

Taking a look around I have to say that Caliph is still the only MPEG-7 tool for semantic descriptions. Due to the fact that it is a prototype (with virtually no productive use) i assume that there is currently no need for such a tool. Reported use is focused on MPEG-7 development and research projects. Lire on the other hand has a more active user base: I know several projects where Lire is used. Seems like there actually is a need for an open source Java library for content based image retrieval.

Lire Documentation Updated

After some requests I started a document on the Lire internals (how this approach actually works). In a first shot I described how descriptors are stored within Lucene and how the retrieval is done. If you read those few words feel free to add information and eliminate typos etc. – it’s a wiki 😀

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