Quality, Reliability, Security and Robustness in Heterogeneous Networks. 12th International Conference, QShine 2016, Seoul, Korea, July 7–8, 2016, Proceedings

Research Article

Intelligence Cloud-Based Image Recognition Service

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  • @INPROCEEDINGS{10.1007/978-3-319-60717-7_47,
        author={Wei-shuo Li and Jung-yang Kao},
        title={Intelligence Cloud-Based Image Recognition Service},
        proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Networks. 12th International Conference, QShine 2016, Seoul, Korea, July 7--8, 2016, Proceedings},
        proceedings_a={QSHINE},
        year={2017},
        month={8},
        keywords={Cloud service Image recognition Feature descriptor},
        doi={10.1007/978-3-319-60717-7_47}
    }
    
  • Wei-shuo Li
    Jung-yang Kao
    Year: 2017
    Intelligence Cloud-Based Image Recognition Service
    QSHINE
    Springer
    DOI: 10.1007/978-3-319-60717-7_47
Wei-shuo Li1,*, Jung-yang Kao1,*
  • 1: Industrial Technology Research Institute, ITRI
*Contact email: ansonli@itri.org.tw, Yang_Kao@itri.org.tw

Abstract

Cloud-based vision service provide a opportunity of intelligence and programming support to meet different needs of embedded applications. To reduce the complexity of cloud-based computation, we proposed a method can be by performing Hamming distance. This approach relates in general to a method for feature description, in which a feature patch is described by using a binary string. Our method can achieve near-optimal precision and reduce the bandwidth and computation time.