Caliph & Emir 0.9.25 is mainly a maintainance release: There were some bugs in the content based image retrieval classes. Scalable Color descriptor extraction was fixed and yields now the same results as the MPEG-7 reference software. Furthermore ppm and bmp images are now supported. Note that Java 6.0 is required for the binary version and 1.5 for building it yourself.
The Scalable Color Descriptor was fixed: Now it matches the XM implementation (thanks to Fabrizio Falchi and Bastian Hoesch). EdgeHistogramImpl has also been updated according to a bug report & patch by Bastian Hoesch. Furthermore the DominantColor class was adapted based on suggestions by Janine Lachner. New feature is the support for ppm and bmp images.
Binaries, source and an installer for windows can be downloaded on sourceforge.net.
The 0.5.2 release of LIRe brings along a new descriptor, which is kind or “more advanced version of a color histogram”. TheÂ so called color correlogram is based on the probability to find pixels of certain colors in certain neighborhoods. Leaving the theoretical part aside the color correlogram is a new way to retrieve photos with LIRe based on color and color distribution, which might be very interesting for applications heavily depending on colors. Further information on the correlogram might be found at the development Wiki.
Today I released Lire 0.5.1: Since Lire already supports Color histograms (with the MPEG-7 ScalableColor descriptor), functions for searching for colors have been integrated by by adding a searcher for color only search operations, a document builder restricted to color and a document factory for fast and efficient creation of documents describing images with one color only.
Download Lire at the sourceforge.net project page.
The 0.5 release of lire includes one major bug fix as well as a new feature. Lire can now easily be used to identify duplicate images within an index. Sample code and documentation on the new feature can be found in the documentation wiki. The API docs are online available.
The bug, which is now fixed, was responsible for missing results in the result list in the special case of equal distance to the query image. Additionally the Lucene library packaged with Lire has been updated to version 2.0.0.
Download the new release at sourceforge.net:
This release focuses on the visualization of repositories and search results in Emir. Alt + mouse wheel now changes size of thumbnails in the visualization and the movement within the visualization has been fixed. It further includes library updates and a new demo mode (endless loop of iterative arrangement in visualization) in Emir.
The new release can be downloaded at sourceforge:
The LIRE library allows the creation of a Lucene Index for content based image retrieval (CBIR). Furthermore methods for searching the index are provided. In Lire 0.4 support for weighting has been added to the image searcher module. With weighting the importance of texture, colour and colour distribution for image retrieval can be specified. The new feature is described in detail in the online documentation and the API docs.
The Caliph & Emir 0.9.22 release brings some whole new and configured metrics for result and repository visualization. The Suffix Tree Graph Metric has been tuned and evaluated, the BM-25 weighting scheme has been applied to path based graph comparison. Furthermore Lucene, Looks and Metadata-Extractor libraries were updated and some small issues were resolved.
Lire 0.3 updates all internals to Lucene 1.9.1 and brings the new Lucene along in the libraries. The scores are now normalized and semantically equivalent to the score value of Lucene: A score of 1.0 identifies best matches, the lower the score the worse the match.
Two critical bug fixes were made: Deleted documents are now skipped (THX to Roman Kern) and there were some issues with using the same instance of searcher for multiple searches.
Check out the new releases at sourceforge:
The newest release of Caliph & Emir (v 0.9.21) features a configuration dialog for Emir, result visualization and export of results to html, a faster EdgeHistogram descriptor, some bug fixes and some cleanups of the UI. The standards compliance of the resulting MPEG-7 file in Caliph was fixed (thx to Daniel Poetzinger) and the image analysis section has been partially re-written (many duplicate classes were deleted and the code is now more Java like and faster). Behind the scenes two new metrics for graphs have been added, which can be used for repository visualization.
To try the new releases please download the binaries of the Windows installer (note that Java 5.0 has to be installed separately) or try the Java Web Start versions of Caliph & Emir
The Lire 0.2 release (Lucene Image REtrieval) offers a lot more performance for indexing and search. Depending on use case and parameters indexing and searching speed has doubled.
Tests have shown that searching in an index containing 3890 images can be done in 64 ms per search. Indexing ca be as fast as 308 ms per image.
Check out the new release at sourceforge: