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MediaScope : Selective On-Demand Media Retrieval from Mobile Devices

MediaScope : Selective On-Demand Media Retrieval from Mobile Devices. Yurong Jiang, Xing Xu , Peter Terlecky , Tarek Abdelzaher , Amotz Bar- Noy , Ramesh Govindan. IPSN 2013. Availability Gap. Availability Gap in. Bridge the Availability Gap ?. Bridge the Availability Gap.

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MediaScope : Selective On-Demand Media Retrieval from Mobile Devices

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  1. MediaScope: Selective On-Demand Media Retrieval from Mobile Devices Yurong Jiang, Xing Xu, Peter Terlecky, TarekAbdelzaher, Amotz Bar-Noy, RameshGovindan IPSN 2013

  2. Availability Gap

  3. Availability Gap in

  4. Bridge the Availability Gap ?

  5. Bridge the Availability Gap

  6. MediaScope: Timely On-Demand Media Retrieval Images from today’s game… Respond in 30 seconds…

  7. MediaScope Approach NBA USA

  8. MediaScopeQueries – for Different Needs

  9. Challenges and Contributions

  10. Image Search – on Image Feature Space Img1 = { Loc = {Beijing, China}, Time = 2012-0716T19:20:30}, VisualFeature = {0, 3, 2, 5, … }} Img2 = { Loc = {L.A., USA}, Time = 2013-0316T10:00:00}, VisualFeature = {1, 2, 0, 4, … }} Img3 = { Loc = {Philly, USA}, Time = 2013-0408T09:00:00}, VisualFeature = {0, 7, 0, 3, … }}

  11. Similarity on Feature Vectors

  12. MediaScope System Overview MSCloud MSCloudDB MSCloudQ Medusa MSMobile Feature Extractor Object Uploader

  13. MSMobile - Feature Extractor Error Rate (%)

  14. Geometric Queries in MediaScope • Similar x1, x2 Greater Sim(x1, x2) Value • In Particular, Sim(x, x) = ∞

  15. MSCloud – Timely Retrieval for Concurrent Queries P1 Q1 Q1 Q1 Q1 Q2 Q2 Q2 Q2 P2 Q1 Q1 Q2 Q2 Q2 Q2

  16. MSCloud – Queries & Credit Assignment • credit ∝ similarity to target image • (credit)-1∝ average similarity to other images 800 100 100

  17. MSCloud – Credit Based Scheduling From Q1 From Q2 From P1 From P2

  18. MSCloud – Credit Based Scheduling P1 MSCloud P1 Q1 Q1 Q1 Q1 P2 1. Filesize 2. Credit 3. Deadline Q1 Q1 MSMobile

  19. MSCloud – Credit Based Scheduling @ Phone

  20. MediaScope Evaluation

  21. Query Completeness

  22. Low Latency! • 10% Battery Consumption ~ 400+ images MediaScope Overhead

  23. MediaScope Summary

  24. Query Sample

  25. Query Completeness

  26. MediaScope – Related Work

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