网络视频流识别技术研究

Internet Video Streaming Recognition Technology

互联网多媒体技术已经成为我们日常生活中不可或缺的元素之一,人们可以通过网络视频观看电影、电视剧,还可以通过网络视频聊天,通过网络视频学习和召开视频会议,网络视频应用越来越频繁,这使得网络流媒体数据量不断增大,因此增加了网络带宽和网络传输质量的负担。本文对目前网络视频传播形式进行研究,发现目前主流的网络视频通信为P2P和Web,由此对二者的通信方式、视频流识别方法进行研究,以提高网络视频流识别能力,提高视频服务质量。

Intemet Multimedia technology has become one of our indispensable element of everyday life, people can watch movies, TV shows, you can also chat via online video via online video, online video learning through video conferencing, network video applications increasingly more frequently, which makes the streaming data network is increasing, thus increasing the burden on the network bandwidth and transmission quality. In this paper, the current spread in the form of online video, and found a network of video communication as mainstream P2P and Web, thus, on the means of communication between the two, the video stream to identify methods of the present study, in order to improve the ability to identify network video streaming, video services to improve quality.