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Cloud-Based Car Image Retrieval with Interactive Script

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Human Centered Computing (HCC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8944))

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Abstract

To enhance the retrieval efficiency, a User-centered cloud-based script Programming Environment is proposed (UPE). This environment consist three main components. Firstly, we designed a set of primitives of car image retrieval and implemented in Julia, a high performance scripting language. The feature extracting algorithms (SIFT, Scale-Invariant Feature Transform) and feature matching were implemented on multi-/many-core platform. Secondly, we constructed a function library to auto-adapt heterogeneous platform. Users orchestrated primitives in Julia script to construct their applications and debug/run it in UPE. Finally, this UPE is coded in Java to edit, debug, and run Julia codes. UPE help users passing codes as a message onto a remote supercomputer. Users needed not concern themselves to the supercomputer architecture details. The experimental results show that the whole retrieval process is speed up 26.35x, and the accuracy enhanced to 33.63 % with a 100 % recall ratio. The performance loss of Julia is about 2.65 % compared with C implementation.

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References

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Correspondence to Changyou Zhang .

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© 2015 Springer International Publishing Switzerland

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Zhang, C., Huang, B., Chen, H., Cheng, Y., Wang, L., Wang, T. (2015). Cloud-Based Car Image Retrieval with Interactive Script. In: Zu, Q., Hu, B., Gu, N., Seng, S. (eds) Human Centered Computing. HCC 2014. Lecture Notes in Computer Science(), vol 8944. Springer, Cham. https://doi.org/10.1007/978-3-319-15554-8_48

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  • DOI: https://doi.org/10.1007/978-3-319-15554-8_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15553-1

  • Online ISBN: 978-3-319-15554-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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