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作 者:刘文静 LIU Wenjing(Zaozhuang News Media Center,Zaozhuang 277100,China)
出 处:《电视技术》2025年第2期79-81,共3页Video Engineering
摘 要:随着人工智能技术的发展,智能视频剪辑技术已应用于电视直播节目主持领域。该技术通过卷积神经网络(Convolutional Neural Networks,CNN)和长短时记忆网络(Long Short-Term Memory,LSTM),实现了实时直播内容的自动剪辑,从而提升了直播效率与观赏体验。基于此,探讨智能视频剪辑技术的基本原理及其在自动镜头切换、多镜头调度与实时字幕生成中的应用效果。实验结果显示,与传统方法相比,智能视频剪辑技术在镜头切换准确率、场景识别正确率、响应时间等方面均有显著提升。With the development of artificial intelligence technology,intelligent video editing technology has been applied to the field of live television program hosting.The technology uses Convolutional Neural Networks(CNN)and Long Short-Term Memory(LSTM)to realize the automatic editing of real-time broadcast content,thereby improving the efficiency of broadcast and viewing experience.Based on this,the basic principle of intelligent video editing technology and its application in automatic shot switching,multi-shot scheduling and real-time title generation are discussed.The experimental results show that compared with the traditional methods,the intelligent video editing technology has a significant improvement in shot switching accuracy,scene recognition accuracy,response time and other aspects.
关 键 词:电视直播节目主持 智能视频剪辑 自动镜头切换 场景识别
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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