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Vortrag über LIRe, eine open source Bibliothek für die Bildsuche, auf dem barcamp Klagenfurt am 05.02. 2011.

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Ohne LIRekeine Bildsuche Dr. Mathias Lux Ass. Prof. / AAU
CV Techn. Mathematik(TU Graz) Telematik(TU Graz) Know-Center & KMI AlpenAdriaUniversität Klagenfurt Information Technology – ITEC
Interessen Multimedia Search & Retrieval User Intentions Computer Games
ITEC, Klagenfurt University, Austria Number of Digital Photos(global) Estimate 2006 > 150 billion photos from cameras > 100 billion photos from camera phones Forecast 2010 > 500 billion photos + increased resolution Source: IDC Study “Expanding Digital Universe” http://www.emc.com/about/destination/digital_universe/
ITEC, Klagenfurt University, Austria Digital Imaging Devices(Germany) Still image cameras sold in Germany (thousands) analogue digital Source: Cewe Factbook, http://www.cewecolor.de
Motivation Or even on the web? Flickr …
Semantic Gap Inability of computers to interpret the scene What is so special about Mona Lisa’s smile?
Semantic & Sensory Gap
Forschungsthemen From [Datta et al. 2008]
What is the problem with VIR? The fundamental difficulty in doing what we want to do is related to the need to encode, perceive, convey, and measure similarity (e.g. between two images)
Bildsuche Vergleich von 2 MP Bildern á 1.600 x 1.200 x 2 byte = 3,66 MB Annahme: 7000 Bilder ~ 25 GB Daten (CC) JasonRogers: http://flickr.com/photos/restlessglobetrotter/2149696743/
Was tun?
Was tun?
LIReLucene Image Retrieval Softwarebibliothek – GPL‘d Verwendet Java Erlaubt Bildsuche Globale Features (> 10) Lokale Features (SIFT, SURF, MSER) Vereinfacht Indizierung & Suche Lineare & approximative Suche Zeigt Funktionalität via Demo (CC) CayUsa: http://www.flickr.com/photos/cayusa/981372736/
LIReLucene Image Retrieval

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Ohne LIRe keine Bildsuche

  • 1. Ohne LIRekeine Bildsuche Dr. Mathias Lux Ass. Prof. / AAU
  • 2. CV Techn. Mathematik(TU Graz) Telematik(TU Graz) Know-Center & KMI AlpenAdriaUniversität Klagenfurt Information Technology – ITEC
  • 3. Interessen Multimedia Search & Retrieval User Intentions Computer Games
  • 4. ITEC, Klagenfurt University, Austria Number of Digital Photos(global) Estimate 2006 > 150 billion photos from cameras > 100 billion photos from camera phones Forecast 2010 > 500 billion photos + increased resolution Source: IDC Study “Expanding Digital Universe” http://www.emc.com/about/destination/digital_universe/
  • 5. ITEC, Klagenfurt University, Austria Digital Imaging Devices(Germany) Still image cameras sold in Germany (thousands) analogue digital Source: Cewe Factbook, http://www.cewecolor.de
  • 6.
  • 7. Motivation Or even on the web? Flickr …
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. Semantic Gap Inability of computers to interpret the scene What is so special about Mona Lisa’s smile?
  • 15. What is the problem with VIR? The fundamental difficulty in doing what we want to do is related to the need to encode, perceive, convey, and measure similarity (e.g. between two images)
  • 16. Bildsuche Vergleich von 2 MP Bildern á 1.600 x 1.200 x 2 byte = 3,66 MB Annahme: 7000 Bilder ~ 25 GB Daten (CC) JasonRogers: http://flickr.com/photos/restlessglobetrotter/2149696743/
  • 19. LIReLucene Image Retrieval Softwarebibliothek – GPL‘d Verwendet Java Erlaubt Bildsuche Globale Features (> 10) Lokale Features (SIFT, SURF, MSER) Vereinfacht Indizierung & Suche Lineare & approximative Suche Zeigt Funktionalität via Demo (CC) CayUsa: http://www.flickr.com/photos/cayusa/981372736/
  • 22. Danke … … für eure Zeit Mathias Lux mlux@itec.uni-klu.ac.at http://www.semanticmetadata.net