Intelligence Cloud-Based Image Recognition Service

Wei-shuo Li; Jung-yang Kao

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.

Keywords: Cloud service Image recognition Feature descriptor

Published: 2017-08-09
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-60717-7_47

Intelligence Cloud-Based Image Recognition Service

Abstract

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