视频压缩技术在线应用的研究  

Research on Online Application of Video Compression Technology

作　　者：叶显文 韦继良[1] 何定海[1] 刘树庄 向庭波 黄尚科 陈达 曹磊 吴波 陈志超 蒙诗文 Ye Xianwen;Wei Jiliang;He Dinghai;Liu Shuzhuang;Xiang Tingbo;Huang Shangke;Chen Da;Cao Lei;Wu Bo;Chen Zhichao;Meng Shiwen(Science and Technology Information Corps of Public Security Department of Guangxi Zhuang Autonomous Region)

机构地区：[1]广西壮族自治区公安厅科技信息化总队

出　　处：《智能建筑》2020年第10期62-66,共5页Intelligent Building

摘　　要：随着电子设备的普及和通讯技术的发展,图片和视频占据互联网流量的85%以上。使用深度学习算法来进行图像视频压缩,这样用户不仅可以使用更少硬件设备进行数据存储,也可以在窄带宽的环境下通过视频、图片压缩技术实时无卡顿的传输高清视频和图片。同时可以利用所提取出的压缩编码进行如识别、检测等高层应用,实现高效的多任务算法,这是传统编码技术所不能比拟的优势。With the popularization of electronic equipment and the development of communication technology,pictures and videos occupy more than 85% of Internet traffic.Use deep learning algorithms for image and video compression,so that users can not only use fewer hardware devices for data storage,but also can transmit high-definition videos and pictures in real-time without stuttering through video and image compression technology in a narrow bandwidth environment.At the same time,the extracted compression coding can be used for high-level applications such as identification and detection to achieve efficient multi-tasking algorithms,which is an advantagc tliat traditional coding technology cannot match.

关 键 词：图像分割 图像拼接 视频编解码 视频图片压缩存储、传输压缩编码 识别、检测 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TN919.81[自动化与计算机技术—控制科学与工程]