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Tentative Future Courses Fall `11 : Computer Vision – emphasis on recognition Spring `11 : Graduate seminar Fall `12 : Computational Photography.

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Presentation on theme: "Tentative Future Courses Fall `11 : Computer Vision – emphasis on recognition Spring `11 : Graduate seminar Fall `12 : Computational Photography."— Presentation transcript:

1 Tentative Future Courses Fall `11 : Computer Vision – emphasis on recognition Spring `11 : Graduate seminar Fall `12 : Computational Photography

2 Recap from Monday What imagery is available on the Internet What different ways can we filter / aggregate / collect that imagery – aggregate statistics – search by keyword

3 Internet-scale Imagery for Graphics and Vision 2 James Hays cs129 Computational Photography Brown University, Spring 2011

4 Internet Imagery from visual search

5 Distance Metrics - - - = Euclidian distance of 5 units = Grayvalue distance of 50 values = ? x y x y

6 SSD says these are not similar ?

7 Tiny Images 80 million tiny images: a large dataset for non- parametric object and scene recognition Antonio Torralba, Rob Fergus and William T. Freeman. PAMI 2008.

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9 Human Scene Recognition

10 Tiny Images Project Page http://groups.csail.mit.edu/vision/TinyImages/

11 Powers of 10 Number of images on my hard drive: 10 4 Number of images seen during my first 10 years:10 8 (3 images/second * 60 * 60 * 16 * 365 * 10 = 630720000) Number of images seen by all humanity: 10 20 106,456,367,669 humans 1 * 60 years * 3 images/second * 60 * 60 * 16 * 365 = 1 from http://www.prb.org/Articles/2002/HowManyPeopleHaveEverLivedonEarth.aspx Number of photons in the universe: 10 88 Number of all 32x32 images: 10 7373 256 32*32*3 ~ 10 7373

12 Scenes are unique

13 But not all scenes are so original

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