Identification and supervision platform for pornographic images and videos and inappropriate contents on wireless application protocol (WAP)-based mobile media
An image and pornographic technology, which is applied to the monitoring system platform and the identification field of mobile Internet information content, can solve the problems of bad images and video content hazards on the mobile Internet, and achieve the effects of improving review efficiency, detailed evidence collection, and accurate positioning
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Embodiment 1
[0033] Embodiment one: see Figure 1 to Figure 5 , the identification and supervision platform of WAP mobile phone media pornographic images, videos and bad content of the present invention includes at least one image acquisition and detection master server and at least one image acquisition and detection slave server, and the WAP service data mirroring port mirrors WAP services from the CDMA or GSM network The data is transmitted to the image acquisition and detection master server and the image acquisition and detection slave server. The image acquisition and detection master server and the slave server are connected to the background database and the monitoring terminal through the internal data network. The system software architecture includes an acquisition control layer, a data review layer, a data management layer, data presentation layer, among which
[0034] Acquisition control layer: Restore the collected high-bandwidth data to the original image frame and text info...
Embodiment 2
[0040] Embodiment two: see Figure 1 to Figure 6 , the present embodiment WAP mobile phone media pornographic image, video and bad content identification, monitoring platform, according to the size of the network bandwidth and the amount of data, to configure the number of "Jinhui image collection and detection servers". The data review layer automatically reviews text, images, and videos. Intelligently identify bad information and provide a manual review intervention mechanism.
[0041] 1. The data audit layer will automatically add the URL of the audited bad information to the blacklist database, and find the corresponding IP address, SP code and exact physical address, so as to search for the suspect of spreading.
[0042] 2. Use the keyword comparison based on the keyword library to identify text, and use the semantic analysis based on the complete knowledge base and reasoning engine developed by our company to identify the semantics of the text.
[0043] 3. Since the re...
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