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人工智能技术在广播电视内容审核中的应用与优化策略研究

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随着广播电视内容的多样化和复杂化,传统的内容审核方法效率低下、成本高且准确率不足.基于此,探讨如何利用人工智能(Artificial Intelligence,AI)技术来优化广播电视内容审核方法,通过引入机器学习和深度学习等技术,以期提升审核的效率和准确性.阐述AI技术在广播电视内容审核中的应用以及相应的审核方法优化策略,并通过实际案例展示这些优化措施的具体效果.
Research on Application and Optimization Strategy of Artificial Intelligence Technology in Radio and Television Content Review
With the diversification and complexity of radio and television content,traditional content review methods are inefficient,costly and lacking in accuracy.Based on this,this paper discusses how to use Artificial Intelligence(AI)technology to optimize broadcast and television content review methods,and introduces machine learning and deep learning technologies to improve the efficiency and accuracy of review.This paper expounds the application of AI technology in radio and television content audit and the corresponding optimization strategies of audit methods,and demonstrates these optimization through practical casesSpecific effects of measures.

Artificial Intelligence(AI)content reviewmethod optimization

曹文星

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临沂市广播电视服务部,山东 临沂 276002

人工智能(AI) 内容审核 方法优化

2024

电视技术
电视电声研究所 中国电子科技集团公司第三研究所

电视技术

影响因子:0.496
ISSN:1002-8692
年,卷(期):2024.48(12)