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Extending Google Goggles to Identify services offered by objects CMSC 601-Basic Research Skills

Extending Google Goggles to Identify services offered by objects CMSC 601-Basic Research Skills. May 11, 2011. Presented by, Anurag Korde. Introduction. Mobile technology- access information from anywhere at anytime

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Extending Google Goggles to Identify services offered by objects CMSC 601-Basic Research Skills

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  1. Extending Google Goggles to Identify services offered by objectsCMSC 601-Basic Research Skills May 11, 2011 Presented by, AnuragKorde

  2. Introduction • 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. Problems • 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 and its Impact • 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. Related Work-I • Google Goggles[1] • Allows visual search • No need to type or say query • Google has a dataset of 1 billion images Images:[1]

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

  7. Related Work-III • 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. Proposed Architecture Take a snap Results(Information / Services) Image Image search and service mapping Images:[1] and www.google.com/images

  9. Implementation/Methodology • 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: www.google.com/images

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

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

  12. Conclusion • 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. References [1] www.google.com/mobile/goggles [2] http://www.google.com/mobile/skymap [3] SrinivasaRao V, NageswaraRao N K, and E Kusuma Kumari. Cloud computing: An overview. Journal of Theoretical and Applied Information Technology. [4] SonalAnand, Sarvesh Gupta, ShwetaFatnani, Varsha Sharma, and Deepti Jain. Semantic cloud for mobile technology. International Journal of Computer Applications

  14. Thank You….!!!

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