摘要
针对当前SNS社区网络的的不断深入发展,大规模图数据可达索引技术开始被广泛的应用在社交网络中,从而提高对数据索引的精准度。本文针对可达索引技术应用的社交网络中,存在着确定性和不确定性的图数据。针对确定性查询中存在着很大的噪声,引入信息熵的方式,从而提高了图片检索的效率,使得语义表达更为的精确。
In view of the current SNS-depth development of community networks, large-scale map data up indexing technology began to be widely used in the social network, thereby improving the accuracy of the data index. In this paper, indexing tech- nology applications up to a social network, there is a certainty and uncertainty of map data. For deterministic queries exist in a loud noise, information entropy manner, thereby improving the efficiency of image retrieval, so that a more precise semantic representation.
出处
《电子设计工程》
2015年第23期152-154,共3页
Electronic Design Engineering
