Picture retrieval clustering method facing to Web2.0 label picture shared space
A web2.0, clustering method technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of labeling inconsistency, not considering labeling inconsistency, and not being able to adapt well. Achieve the effect of solving the problem of inconsistent expression, satisfying the image clustering results, and solving the query semantic ambiguity
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[0035] In the retrieval system facing the shared space of Web2.0 tagged images, the retrieval clustering method provided by the present invention can realize fast and effective retrieval of highly dynamic and massive tagged images, and solve the semantics of the tags themselves in the tag space to a certain extent Consistency issues and query semantic ambiguity issues, taking the image data set of the Flickr image sharing website as an example, the specific implementation steps are as follows:
[0036] 1) The system first establishes an inverted index of tag keywords for the obtained Flickr image data set, and performs preprocessing analysis on the tag set in the image database:
[0037] The first step is to build a label inverted index table TAIL for query expansion based on the existing vocabulary association knowledge and morphological transformation knowledge. Flickr pictures are basically English labels, and labels can be obtained through the vocabulary relationship struct...
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