An Image Retrieval Learning Platform with Authentication System

Shengyu Lu · 2018

Data has been developing for a long time in the Internet age, and has evolved from a monotonous form of expression such as simple and monotonous digital text to the manifestation of multimedia such as video. In recent years, the application of images are more and more extensive, the research of image retrieval and the development of tools are very applicable. The main research of this paper is image retrieval, the images processed by digital feature extraction engineering to record the images as searchable data. This system developed an open platform of image retrieval to implement the low-level image features extraction and obtain the tag of the image. What's more, we use the OAuth2.0 authentication mechanism to manage users to invoke the platform service resources to implement the maximum utilization of core resources.

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