Large-scale Image Retrieval Based on Cloud Platform and Distributed Computing
In order to obtain the ideal large-scale image retrieval results,a large-scale image retrieval method based on cloud platform and distributed computing is designed.The cloud platform and distributed computing technology are used to build the image retrieval environment,the SIFT algorithm is used to extract the image retrieval features,the dimension of the feature vector is reduced through k-means clustering,the inverted index structure is constructed according to the corresponding rela-tionship between the visual dictionary and the graphic vector,the large-scale image retrieval is preliminarily realized,and the multi-feature fusion method is used to further improve the accuracy of image retrieval.The test results show that the retrieval method has better expansion rate and acceleration ratio,high image retrieval accuracy and high image retrieval efficiency.
万方数据
维普
