1. Image Search using Google Image Outreach Activity July 2011 Virginia Tech

2. Information Retrieval Documents Search Ranking Q D Query Results Best matches (Q with D) selected

3. Search Module Detail Query Q Document D1 Feature vector Q Similarity Function Feature vectors D1 Feature vectors D1 S = Sim(Q,D1)

4. Concept Search based on visual content of images – Color – Shape – Texture

5. Color

6. Texture (a) Stone (b) Water (c) Wood (d) Sand (e) Grass (f) Inca fabric (g) Brick Wall (h) Painting (i) Metal (j) Car plate

7. Shape Multiscale Fractal Dimension

8. Activity 1: Multicolr Search Go to http://labs.ideeinc.com/multicolr/http://labs.ideeinc.com/multicolr/ From its page, in the color palette, choose blue color How many of the results are all natural (not human-made)? - look just at first page

9. Activity 1: Multicolr Search (2) Repeat it, but add/click on green Write down your guess: Why does having 50% each of 2 colors yield this result? Next, add/click on red Write down your guess: Why does having 33% of each of 3 colors yield the result you see?

10. Activity 2: Google Image Search http://images.google.com/ Click on this icon

11. Activity 2: Precision is ?

12. After clicking on

13. Activity 2: Copy & Paste image links For each link below, take a look at its results for “Visually similar images” 1.http://goo.gl/IN077http://goo.gl/IN077 2.http://goo.gl/GcV6bhttp://goo.gl/GcV6b 3.http://goo.gl/f3QCuhttp://goo.gl/f3QCu

14. Activity 2: Write Answers For each of the 3, considering the similar photos found by Google Image Search, compute precision (i.e., the percentage of the supposedly similar photos that really are similar). Write down these 3 percentages. Explain why some image queries work well while others do not.

15. Activity 3: Histogram for 2 nd Query Image

16. Activity 3: Is it similar? Why shown?

17. Activity 3: Is it similar? Why shown?