基于UCL的网络音视频自动标引

Automatic Indexing for Audio and Video of Network Based on UCL

针对下一代网络中海量音视频信息的共享与管理问题,引入UCL(Uniform Content Location)自动标引技术。对网络音视频数据进行多层语义挖掘,制定元数据规范标签。在此基础上,对音视频数据进行识别和分流,深度分析应用层数据,提出了基于UCL技术的网络音视频自动标引方案。编写了模拟仿真软件,在构建的网络音视频传输平台下实现了音视频数据的UCL自动标引,能够完成良好的音视频信息管理,验证了理论方案的可行性。

According to sharing and managing of massive audio and video data of next generation network, an UCL indexing technology is introduced. It focuses on multilayer semantic mining of audio and video data on network, and formulates a normative framework of metadata. On this basis, the data of application layer is distinguished and analyzed, and a scheme of automatic indexing for audio and video data based on UCL is put forwarded in this paper. The simulation software is completed that implemented UCL automatic indexing of audio and video data on transmission platform of audio and video is established, and it can work well in accomplishing the information. The results verify that theoretical scheme is feasible.