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.
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CITATION STYLE
Li, W. shuo, & Kao, J. yang. (2017). Intelligence cloud-based image recognition service. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 199, pp. 473–477). Springer Verlag. https://doi.org/10.1007/978-3-319-60717-7_47
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