Video detection and rating method based on big data technology

Abstract

The invention discloses a video detection and rating method based on a big data technology. The method includes the following steps: detecting and marking video contents in a live broadcasting platform or a video source database, extracting data, and then importing the extracted data into a big data analysis model to implement multidimensional analysis on big data extraction results, and giving anaccess classification rating of a live broadcasting video or a video source to which the extraction results belong and / or giving an access authority rating. According to the scheme of the invention,aiming at the phenomenon that existing network data resource libraries and video live broadcasting industries urgently need supervision, a supervision service implementation method with more intelligent operation and objective data acquisition is provided, the mandatory statutory supervision can be effectively enforced to live broadcasting operation platforms through a third-party supervision organization, and the complete technical scheme support can be provided.

Description

technical field [0001] The invention relates to the information monitoring technology of live video or video source in the field of Internet technology, in particular, it provides a technical method for automatic detection and shielding of live video or video source. Background technique [0002] With the rapid development of the Internet industry, there is an increasingly urgent need for market and business supervision, especially for the supervision of pornographic performances in live video or video sources, which puts forward higher technical requirements. Most of the existing regulatory technology models adopt post-event punishment, administrator patrols and user reports, which cannot be detected and dealt with in a timely manner. In addition, the monitoring technology model mentioned above cannot support the compulsory supervision of the live broadcast platform by the third-party management agency, and the punishment after the event cannot stop the harm caused to the s...

AI Technical Summary

Problems solved by technology

However, the disclosure of the technical features of its specific implementation process plan is insufficient, and it is impossible to clarify what kind of achievable technical solution it has adopted to specifically achieve the functions of the business modules; secondly, the data collection of each of the business modules mentioned, Most of them rely on the manual input of supervisory operators, without the technical effect of enabling the business system to achieve autonomous and objective automatic collection, automatic detection and automatic result acquisition, and there are obvious technical disadvantages in its business function scheme

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