摘要
本文从直播系统研发的视角,阐述了帧精度直播系统软件的关键技术和实现方法,运用Python和FFmpeg编解码技术,给出了核心算法模型,实现了从直播推流、播放、导播切换到多画面分割、字幕台标等全流程业务,提出了运用语音和人脸识别等人工智能能力建设新型智慧直播系统的发展思路。
This paper describes key technologies and implementation methods of frame-precision live broadcast system software from the perspective of live broadcast system research and development,uses Python and FFmpeg codec technology,gives core algorithm model,implements entire process business including live streaming,playback,broadcast switching,multiple screen segmentation,subtitles and logos,etc.,and puts forward development idea of using artificial intelligence capabilities such as voice and face recognition to build a new smart live broadcast system.
作者
罗列异
Luo Lieyi(Zhejiang TV&Radio Group,Zhejiang 310000,China)
出处
《广播与电视技术》
2021年第7期40-45,共6页
Radio & TV Broadcast Engineering
关键词
智慧直播
PTS
语音识别
人脸识别
深度学习
Smart live broadcast
PTS
Voice recognition
Face recognition
Deep learning