Content based image retrieval with LIRe

CBIR with LIReMathias LuxKlagenfurt UniversityAustria This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0

Lucene Image Retrieval• Open source• Java• Based on Lucene – text retrieval engine

History• Caliph & Emir – first release in July 2004 – developed since ~ midth of 2003• Lire as spin-off product – first release in 2006 – first use case was „barrique“ – Just MPEG-7 Barrique is a project of Roman Kern: http://sourceforge.net/projects/barrique/

Image Retrieval Features• Color Histograms• MPEG-7 features – scalable color, color layout and edge histogram• Tamura features – coarseness, contrast and directionality• Joint histograms CEDD, FCTH and JCD• Auto color correlation• JPEG coefficients histogram• Local features – SIFT , SURF, MSER• ... and more to come

Indexing and Search• Fast linear search• BoVW search based on Lucene• Parallel k-means & visual word indexing for BoVW• Fastmap for spatial indexing• Metric spaces approach for fast search in global features

Lire: Some Examples• Utilize Lucene – put an index into RAM – distribute indexes over the network• Rapid prototyping – Basic auto-tagging < 100 loc• Test different features & approaches – eg. mediamid & CEDD

Where has LIRe been used?• ImageCLEF – different groups – mentioned on the website• TRECVid – 2010 ranked 3rd in known item search• Medical domain – image retrieval & video summarization• Apparel search applications

Future Directions …• Unified way to change & test metrics• Easier benchmarking• Further support and maintenance

Thanks …• Want to download & try LIRe:• http://www.semanticmetadata.net

http://savvash.blogspot.com	308
http://shakers.pixel-shaker.fr	138
http://savvash.blogspot.it	4
http://savvash.blogspot.de	3
http://www.nonrelevant.net	1
http://savvash.blogspot.in	1

Content based image retrieval with LIRe

by dermotte on Nov 29, 2011

Accessibility

Categories

Tags

Upload Details

Usage Rights

6 Embeds 455

Statistics

Content based image retrieval with LIRe — Presentation Transcript