摘要
5G新消息将大力加强多媒体消息的通信能力。基于5G新消息的不良信息风险将日趋加剧,现有的不良信息治理手段无法完全应对。为了提高现有不良信息识别能力,需要引入人工智能领域最新的研究成果对现有不良信息治理技术手段进行升级。本文详细总结分析了人工智能领域中对不良多媒体信息识别存在价值的各种技术,并对其原理和具体应用场景进行了全面分析。基于这些技术可以大幅提高不良多媒体消息的识别能力,为未来的5G新消息提供内容安全保障。
5G message will greatly strengthen the communication capabilities of multimedia messages.The risk of bad information based on 5G message will increase.Existing bad information governance methods cannot fully cope.In order to improve the existing bad information recognition ability,it is necessary to introduce the latest research results in the field of artificial intelligence to upgrade the existing bad information governance technology.This article summarizes and analyzes in detail the various technologies in the field of artificial intelligence that have value for bad multimedia recognition,and comprehensively analyzes its principles and specifi c application scenarios.Based on these technologies,the ability to identify bad multimedia messages can be greatly improved,providing suffi cient content security for future 5G new messages.
作者
戴晶
DAI Jing(China Mobile Information Security Center,Beijing 100053,China)
出处
《电信工程技术与标准化》
2020年第11期75-81,共7页
Telecom Engineering Technics and Standardization
关键词
人工智能
机器学习
深度学习
不良信息
artifi cial intelligence
machine learning
deep learning
bad information
