i need to use data set of image annotation to extract visual features( as color & edge) and text features then make clustering on these features and save the results on files.
After that use the files as input to association rules mining algorithm to build DB of rules (these rules can be used later to annotate images ). When user input a new image without tag or caption the program extract the visual features and search for rules on DB to output list of candidate tags for the image.
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