SemanticMetadata.net » Lire

Visual Attention in Lire

Mathias Lux — Mon, 22 Mar 2010 16:44:19 +0000

While doing my preparations for my multimedia information systems lecture I finally came around to implement the visual attention model of Stentiford myself. I just check in the sources (SVN). The algorithm gives actually really nice results compared to its actual simplicity (implementationwise). You can see an example in the following figure. On the left hand side there is the original image and on the right hand side a visualization of the attention map. The light areas (especially the white ones) are deemed centers of attention. Sky and sand are so to say just random noise (there is a lot of “random” in this approach).

Links

F. W. M. Stentiford, “An estimator for visual attention through competitive novelty with application to image compression,” Proc. Picture Coding Symposium, pp 101-104, Seoul, 24-27 April, 2001.

Search through a million images in less than a second

Mathias Lux — Sat, 20 Mar 2010 09:00:02 +0000

We reached a milestone here! Sebastian Kielmann reported that he used LIRe to index a million images. While that’s actually no problem he further managed to search through the images in < 1 second! Whoot!

Sebastian used the metric index, which implements the ideas of Giuseppe Amato. The approach is easy, but works out really fine. Currently CEDD is the standard descriptor, but others are integrated easily. However, using the metric index is not trivial and requires some knowledge on the process. Also the results are approximate and might differ from the results obtained by linear search.

Links

LIRe development mailing list

Mathias Lux — Fri, 19 Mar 2010 15:17:56 +0000

Few weeks ago I was asked if there is a mailing list dedicated to LIRe and development of applications with LIRe. That was reason enough for moe to create one. The mailing list is available at Google Groups and it’s called lire-dev. Please feel free to subscribe and ask (and of course answer and discuss) any questions regarding LIRe.

Links

LIRe Dev Google Group

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)

ZoRa Photo Director

Mathias Lux — Thu, 04 Mar 2010 12:46:26 +0000

Just got word from Berthold Daum that he has integrated LIRe in the ZoRa Photo Director. That’s desktop asset management application, written in Java which allows for management of large photo collections. Source and binaries (Win & Linux) are available at http://www.photozora.org. Not to forget: it’s built on Eclipse!

Links

http://www.photozora.org

Lire accepted for the Open Source Contest @ ACM MM

Mathias Lux — Tue, 15 Jul 2008 13:14:27 +0000

Although its quite some time ago that I got the acceptance mail I forgot to blog the good news: Lire (Lucene Image Retrieval) has been acccepted to be presented at the ACM Multimedia within the Open Source Contest track. As it is a contest I assume we have chances to win something?

Lire: Submission to the ACM Multimedia Open Source Contest 2008

Mathias Lux — Tue, 17 Jun 2008 09:00:27 +0000

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 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

Lire SVN build for Java 1.5

Mathias Lux — Fri, 30 May 2008 12:29:04 +0000

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.

Files:

liredemo-svn-2008-05-29-jdk1.5.tar.bz2 [670k]
liredemo-svn-2008-05-29-jdk1.5.zip [884k]