Extraction and identification technology of infringement picture content by deep learning and hash coding
A hash coding and deep learning technology, which is applied in character and pattern recognition, instruments, biological neural network models, etc., can solve the problems of automatic judgment, webpage content cannot be monitored, and detection business is passive, etc.
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[0024] This example implements the identification technology of infringing content, which consists of three parts:
[0025] Step 1. Acquisition of image resources. Search for resources with a high matching degree on the website according to image keywords, search scope, and upload time of search resources. Before searching for content involving image copyright infringement, in the face of massive image information on the Internet, searching without purpose is like finding a needle in a haystack. Therefore, in order to achieve this goal, it is first necessary to filter the content of the retrieved pictures. The screening conditions include keywords related to the content of the pictures, resource retrieval (crawling) scope limitation, resource upload time and other key screening conditions. The main objects of resource retrieval are large and medium-sized portal websites. Crawler technology is used to crawl resources with high matching degree involving image copyright infringe...
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