发明名称 Information embedding based on user relevance feedback for object retrieval
摘要 A method and system for indexing and retrieving database objects, such as images, include a database manager which initializes database objects based on vectors for values of quantified features associated with the database objects. Similar database objects are grouped into common clusters that are based on system-perceived relationships among the objects. For each search session, a vector for a search query is calculated and database objects from the closest cluster within feature space are selected for presentation at a user device. The user indicates which of the selected objects are relevant to the search session and which of the objects are irrelevant. If one of the clusters includes both relevant and irrelevant objects, the cluster is split into two clusters, so that one of the resulting clusters includes the relevant objects and the other cluster includes irrelevant objects. The correlation matrix is updated to indicate that the resulting clusters have a weak correlation. If two of the clusters include database objects which were indicated to be relevant to the search session, the correlation matrix is updated to indicate that the two clusters have a strong correlation. To avoid an excessive proliferation of database clusters, mergers are performed on clusters which are closely located within the feature space and share a strong correlation within the correlation matrix. Following continued use, the groupings of objects into clusters and the cluster-to-cluster correlations will reflect user-perceived relationships.
申请公布号 US6347313(B1) 申请公布日期 2002.02.12
申请号 US19990260215 申请日期 1999.03.01
申请人 HEWLETT-PACKARD COMPANY 发明人 MA WEI-YING;LEE CATHERINE S.;ZHANG HONGJIANG
分类号 G06F17/30;(IPC1-7):G06F17/30 主分类号 G06F17/30
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