The document discusses advancements in digital imaging and the challenges of image retrieval, particularly in interpreting and comparing images. It highlights the exponential growth in the number of digital photos and the limitations of current technology in bridging the semantic gap in image understanding. Additionally, it mentions the development of image retrieval software that simplifies searching through global and local features.

1. Ohne LIRekeine BildsucheDr. Mathias LuxAss. Prof. / AAU

2. CVTechn. Mathematik(TU Graz)Telematik(TU Graz)Know-Center & KMIAlpenAdriaUniversität KlagenfurtInformation Technology – ITEC

3. InteressenMultimedia Search & RetrievalUser IntentionsComputer Games

4. ITEC, Klagenfurt University, AustriaNumber of Digital Photos(global)Estimate 2006> 150 billion photos from cameras> 100 billion photos from camera phonesForecast 2010> 500 billion photos+ increased resolutionSource: IDC Study “Expanding Digital Universe” http://www.emc.com/about/destination/digital_universe/

5. ITEC, Klagenfurt University, AustriaDigital Imaging Devices(Germany)Still image cameras sold in Germany (thousands)analoguedigitalSource: Cewe Factbook, http://www.cewecolor.de

7. MotivationOr even on the web?Flickr …

12. Semantic GapInability of computers to interpret the sceneWhat is so special about Mona Lisa’s smile?

13. Semantic & Sensory Gap

14. ForschungsthemenFrom [Datta et al. 2008]

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. BildsucheVergleich von 2 MP Bilderná 1.600 x 1.200 x 2 byte = 3,66 MBAnnahme: 7000 Bilder~ 25 GB Daten(CC) JasonRogers: http://flickr.com/photos/restlessglobetrotter/2149696743/

17. Was tun?

18. Was tun?

19. LIReLucene Image RetrievalSoftwarebibliothek – GPL‘dVerwendet JavaErlaubt BildsucheGlobale Features (> 10)Lokale Features (SIFT, SURF, MSER)Vereinfacht Indizierung & SucheLineare & approximative SucheZeigt Funktionalität via Demo(CC) CayUsa: http://www.flickr.com/photos/cayusa/981372736/

20. LIReLucene Image Retrieval