Analysis of Feature Extraction Methods of Multimedia Information Resources Based on Unstructured Database

This paper analyzes the problems of excessive information resources and insufficient accuracy of data information resource representation and extraction. This paper proposes an analysis of multimedia information resource characterization extraction method based on unstructured database. First, the underlying structure of the database is optimized, and the data resource attributes are identified by combining with the data feature mining algorithm, and the low-level information resource features of the unstructured database are clustered, and the data representation extraction path is reasonably planned with reference to the information feature mining results of the underlying database. The covariance parameters in the extraction process of information resource representation are calculated with Gaussian function algorithm, so as to effectively check the extraction error of resource representation and realize the extraction method of multimedia information resource representation in unstructured database. Finally, the comparison experiment proves that the multimedia information resource representation extraction method based on unstructured database can effectively improve the efficiency and accuracy of information resource representation extraction compared with the traditional method.