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May 11, 2011 Presented by, Anurag Korde. Mobile technology- access information from anywhere at anytime Cloud computing-does computations on shared resources.

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Presentation on theme: "May 11, 2011 Presented by, Anurag Korde. Mobile technology- access information from anywhere at anytime Cloud computing-does computations on shared resources."— Presentation transcript:

1 May 11, 2011 Presented by, Anurag Korde

2 Mobile technology- access information from anywhere at anytime Cloud computing-does computations on shared resources and provides storage, security and infrastructure as a service[3] Semantic computing-stores, analyzes and find correlation between data[4]

3 Mobile devices have limited power and processing capabilities Increase in applications requiring high computation Small display- difficult to type search queries Google Goggles[1] do not give services offered by objects Large computation required for image analysis and comparison

4 Solution Reduce volume of processing on mobile Offload the computation on cloud Send only results to mobile Use visual search along with geo-location information Importance Using Cloud computing increases scalability and efficiency, low cost, high performance Reduces mobile power consumption Increase in number of applications and its use Reduces image comparison with large image dataset

5 Google Goggles[1] Allows visual search No need to type or say query Google has a dataset of 1 billion images Images:[1]

6 Google Sky Map[2] Point your mobile towards sky Shows planets, stars, constellations Uses mobile geo-location and compass angle Images:[2]

7 Strengths User friendly Works on books, landmarks, logos, business cards, etc Solves Sudoku!! Weaknesses Cannot identify common objects: animals, plants, food Cannot solve complex AI games Gives only the information associated with object Searches over a large image dataset

8 Image search and service mapping Take a snap Image Results(Information / Services) Images:[1] and

9 Approach-I Image based Search and compare image with large dataset Filter the search based on context Extract service information Approach-II Uses geographic location of mobile Extract information using GPS, accelerometer and compass Find the intersection between the data and map Extract service and other information Images:

10 Develop and deploy a working prototype Run application in: Various scenarios With different test objects Calculate error rate Improve dataset if necessary

11 Improve and expand the image dataset Identify common objects: animals, plants, food Play difficult AI games like chess Face recognition using social profile

12 Google Goggles[1]-provides visual search on limited objects, needs one extension i.e. give services by object New approach for visual searching-location and context based Added new functionality i.e. retrieval of services offered by the captured object

13 [1] [2] [3] Srinivasa Rao V, Nageswara Rao N K, and E Kusuma Kumari. Cloud computing: An overview. Journal of Theoretical and Applied Information Technology. [4] Sonal Anand, Sarvesh Gupta, Shweta Fatnani, Varsha Sharma, and Deepti Jain. Semantic cloud for mobile technology. International Journal of Computer Applications

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