3. 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/
4. 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
5. 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
6. 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
7. 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
8. Future Directions …
• Unified way to change & test metrics
• Easier benchmarking
• Further support and maintenance
