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Extending Google Goggles to Identify services offered by
objects
CMSC 601-Basic Research SkillsMay 11, 2011
Presented by,
Anurag Korde
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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]
Introduction
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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
Problems
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SolutionReduce volume of processing on mobileOffload the computation on cloudSend only results to mobileUse visual search along with geo-location
information
ImportanceUsing Cloud computing increases scalability and
efficiency, low cost, high performanceReduces mobile power consumptionIncrease in number of applications and its useReduces image comparison with large image
dataset
Solution and its Impact
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Google Goggles[1]Allows visual searchNo need to type or say queryGoogle has a dataset of 1 billion images
Related Work-I
Images:[1]
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Google Sky Map[2]Point your mobile towards skyShows planets, stars, constellationsUses mobile geo-location and compass angle
Related Work-II
Images:[2]
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StrengthsUser friendlyWorks on books, landmarks, logos, business
cards, etcSolves Sudoku!!
WeaknessesCannot identify common objects: animals,
plants, foodCannot solve complex AI gamesGives only the information associated with
objectSearches over a large image dataset
Related Work-III
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Proposed Architecture
Image search and service mapping
Take a snap
Image
Results(Information / Services)
Images:[1] and www.google.com/images
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Approach-IImage based Search and compare image with large datasetFilter the search based on contextExtract service information
Approach-IIUses geographic location of mobileExtract information using GPS, accelerometer
and compassFind the intersection between the data and
mapExtract service and other information
Implementation/Methodology
Images: www.google.com/images
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Develop and deploy a working prototype
Run application in:Various scenariosWith different test objects
Calculate error rate
Improve dataset if necessary
Evaluation
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Improve and expand the image dataset
Identify common objects: animals, plants, food
Play difficult AI games like chess
Face recognition using social profile
Future Work
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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
Conclusion
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[1] www.google.com/mobile/goggles
[2] http://www.google.com/mobile/skymap
[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
References
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Thank You….!!!