摘要
在多媒体资源索引中,需要构建云计算模型实现资源索引优化调配和共享,由于多媒体资源云计算索引中进行梯度边缘匹配引起自主混淆,影响多媒体图像的索引准确度。在传统的连续纹理虚化反混淆云计算模型的基础上,进行改进,在资源索引模板匹配过程中引入动态分层策略,提出一种改进的动态分层资源索引自主混淆云计算模型,设计优化的量子群多媒体资源动态分层预测算法,计算多媒体资源信息索引序列的平局动态分层互信息量,通过搜索图像微细特征点的非零特征值计算,得到动态分层云计算模型统云数据在资源信息索引时的量子群聚类响应系统,实现动态分层资源索引与自主混淆云计算模型构建。仿真实验表明,有效实现对多媒体资源的动态分层特征提取,去除在云计算中产生的混淆特征,提高云计算多媒体图像资源索引的准确度,执行效率优越传统的云计算方法。
In the multimedia resources index, need to build a cloud optimized allocation and sharing resources index calculation model, because the multimedia resources in cloud computing index matching caused by self confusion gradient edge, the effect of multimedia image indexing accuracy. Based on continuous texture lradilional virtual anti -aliasing cloud computing model was improved, the intro- duction of dynamic hierarchical strategy in resource index in the process of template matching. An improved dynamic hierarchical re- source index independent confuse the cloud computing model is proposed, optimization of quantum group multimedia resource dynamic hierarchical prediction algorithm is designed, a dynamic layered multimedia resources information index sequence of mutual information, calculated by image micro feature points of non - zero characteristic value to search, dynamic layered cloud computing model of system cloud data in the resource information indexing quantum clustering response system, realize the dynamic hierarchical resource index and self confusion cloud computing model. Simulation results show that the effective realization of the dynamic hierarchical characteristics of multimedia resource extraction is improved, confusing features produced in cloud computing is eliminated, cloud computing resources of multimedia image indexing accuracy is improved, the efficiency is superior to traditional cloud computing algorithm.
出处
《控制工程》
CSCD
北大核心
2014年第6期918-920,924,共4页
Control Engineering of China
基金
国家自然科学基金(61472268)
苏州市科技支撑计划(SS201336)
苏州市职业大学预研项目(2013SZDYY02)
关键词
动态分层
云计算
混淆
资源索引
dynamic hierarchical
cloud computing
confusion
resource index
