The current LireDemo 0.9.4 beta release features a new indexing routine, which is much faster than the old one. It’s based on the producer-consumer principle and makes — hopefully — optimal use of I/O and up to 8 cores of a system. Moreover, the new PHOG feature implementation is included and you can give it a try. Furthermore JCD, FCTH and CEDD got a more compact representation of their descriptors and use much less storage space now. Several small changes include parameter tuning on several descriptors and so on. All the changes have been documented in the CHANGES.txt file in the SVN.
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
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.
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.