1. CrowdSearch: Exploiting Crowds for Accurate Real-time Image Search on Mobile Phones TienShengWen Department of Electronic Engineering Chung-Yuan Christian University, Taiwan Tingxin Yan, Vikas Kumar, Deepak Ganesan Department of Computer Science University of Massachusetts, Amherst, MA 01003 {yan, vikas, dganesan}@cs.umass.edu

3. System Architecture

4. Crowdsearch for Search

5. CrowdsearchAlgorithm

6. Image Search Engine

7. System Implementation

8. Experimental Evaluation

10. Real-time validation

11. Beyond Image Search

12. System Performance

15. Constructing Validation Tasks

16. Minimizing Human Bias and Error

19. Image Search Engine (2/2) A SeqTree to Predict Validation Results. The received sequence is ‘YNY’, the two sequences that lead to positive results are ‘YNYNY’ and ‘YNYY’. The probability that ‘YNYY’ occurs given receiving ‘YNY’ is 0.16/0.25 = 64%

20. System Implementation CrowdSearch Implementation Components Diagram

22. Improving Search Precision