| 1. Build Intelligence from the Physical World (0'35) |
| 2. Context Aware Computing (2'07) |
| 3. From PC to Cloud (1'56) |
| 4. Make the Cloud Context Aware (1'09) |
| 5. Build Physical World Intelligence in the Cloud (1'30) |
| 6. Future Devices: Universal Sensor + Screen (0'45) |
| 7. Integrate with Knowledge from the Web (1'14) |
| 8. 7-Layer Architecture (0'50) |
| 9. Location: the Most Important Context Data (2'11) |
| 10. Projects in MSR Asia (1'19) |
| 11. GeoLife: Building Social Networks Using Human Location History (0'40) |
| 12. Applications (0'37) |
| 13. GPS Devices and Users (0'46) |
| 14. A Large-Scale GPS Dataset (by Feb. 18, 2009) (0'27) |
| 15. Understanding User Mobility - 1 (1'01) |
| 16. Understanding User Mobility - 2 (0'52) |
| 17. Understanding User Mobility - 3 (0'44) |
| 18. Understanding User Mobility - 4 (0'24) |
| 19. Understanding User Mobility - 5 (0'22) |
| 20. Understanding User Mobility - 6 (0'47) |
| 21. Mining User Similarity Based on Location History - 1 (1'18) |
| 22. Mining User Similarity Based on Location History - 2 (2'46) |
| 23. Mining User Similarity Based on Location History - 3 (0'37) |
| 24. Mining User Similarity Based on Location History - 4 (1'34) |
| 25. Mining Interesting Locations and Travel Sequences - 1 (1'05) |
| 26. Mining Interesting Locations and Travel Sequences - 2 (0'45) |
| 27. The HITS-based inference model (0'20) |
| 28. Mining Interesting Locations and Travel Sequences - 3 (0'44) |
| 29. Mining Interesting Locations and Travel Sequences - 4 (0'20) |
| 30. Mining Interesting Locations and Travel Sequences - 5 (0'39) |
| 31. Mining Interesting Locations and Travel Sequences - 6 (0'21) |
| 32. TreasureMap: A Game Based Approach to Assign Geographical Relevance to Web Images (2'20) |
| 33. Game Logs (0'21) |
| 34. Experimental Results (0'38) |
| 35. Similar Landmark Detection (1'12) |
| 36. Image Relevance (0'48) |
| 37. Image Relevance (0'38) |
| 38. Image Relevance (0'15) |
| 39. Image Region Relevance (1'03) |
| 40. Re-ranking Image Search Results (0'21) |
| 41. Evaluation (0'22) |
| 42. Result (0'34) |
| 43. Query Co-Location Pattern Discovery (2'23) |
| 44. Example Co-located Queries (2'17) |
| 45. Co-location Interest Measures (1'55) |
| 46. Example Pr and Pi Calculation (0'34) |
| 47. Co-located Query Pattern (0'44) |
| 48. Problem of the Basic Approach (1'30) |
| 49. Locality Degree of a Pattern (0'12) |
| 50. Lattice based Co-located Query Pattern Discovery (0'16) |
| 51. Data Set (0'17) |
| 52. Number of Patterns (1'04) |
| 53. User Study (0'26) |
| 54. Quality & Locality Evaluation (1'01) |
| 55. Density based Co-Location Pattern Discovery (0'42) |
| 56. A Motivating Example (1'45) |
| 57. Main Idea (0'14) |
| 58. Density (0'04) |
| 59. K-Density Estimates (k+1)-Instances in a Partition (0'03) |
| 60. Prevalence Upper Bound (0'03) |
| 61. Illustration of the Density Based Approach (0'15) |
| 62. Partitions Objects (0'00) |
| 63. Partitions Objects (0'01) |
| 64. Experimental Setup (0'41) |
| 65. Experimental Results (0'57) |
| 66. Summary of the Density Based Approach (0'23) |
| 67. Image Centric Ad Platform (0'44) |
| 68. Can We Bid on Images? (0'14) |
| 69. Advertising for a Visual World (0'12) |
| 70. Image Centric Advertisement Platform (0'15) |
| 71. From Image to Scene (0'37) |
| 72. Interest Map (0'08) |
| 73. Location Targeting (0'16) |
| 74. Scene Editing (0'24) |
| 75. Bidding (0'26) |
| 76. Conclusions (2'21) |