摘要
由于多媒体网络中视频信息种类较多,现有方法视频信息传输效果不理想,无法满足当前网络的使用需求,提出多媒体网络中差异化视频信息分类传递技术。通过图像特征标识关键帧种类,按照镜头组分割视频,架构镜头特征数据集合与标签样本集合,通过计算各初始聚类中心数值获取类间极大距离,建立镜头与类间极大距离之间的关系并调整迭代条件,创建编解码模型与视频服务器,实现视频信息传输,引入速率调节机制,使传输速率与带宽速率相匹配。仿真结果表明,所提方法不仅能够准确划分差异化视频信息,而且传输速度较快,具有较好的实用价值。
There are many kinds of video information in multimedia network,but the video information transmission effect is not ideal,which can’t meet the needs of network.Therefore,the classified transmission technology of differentiated video information in multimedia network was proposed.The type of key frame was marked by image features.According to lens group,the video was segmented.After that,the shot feature data set and label sample set were constructed.And then,the maximum distance between classes was obtained by calculating the initial value of clustering centers.Moreover,the relationship between lens and class was established to adjust the iterative conditions.the coder-decoder model and video server were created to achieve the video information transmission.Finally,the rate regulation mechanism was introduced to match the transmission rate with the bandwidth rate.Simulation results show that the proposed method can not only divide the differentiated video information accurately,but also transmit fast.This method has better practical value.
作者
赵雪彤
ZHAO Xue-tong(Nanjing Tech University,Jiangsu Nanjing 210000,China)
出处
《计算机仿真》
北大核心
2020年第11期189-193,共5页
Computer Simulation
关键词
多媒体网络
差异化
视频信息
分类传递
特征提取
Multimedia network
Differentiation
Video information
Classified transmission
Feature extractio