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Association Rule Mining on Multi-Media Data. Auto Annotation on Images Bhavika Patel Hau San Si Tou Juveria Kanodia Muhammad Ahmad. Auto Annotation on Images. This project is on performing Association Rule Mining on Multi-relational, Multimedia Data, particularly pictures and text.

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association rule mining on multi media data
Association Rule Mining on Multi-Media Data

Auto Annotation on Images

Bhavika Patel

Hau San Si Tou

Juveria Kanodia

Muhammad Ahmad

auto annotation on images
Auto Annotation on Images
  • This project is on performing Association Rule Mining on Multi-relational, Multimedia Data, particularly pictures and text.
  • Corpus: a group of 798 picturesof different kinds such as art, landscape … with descriptions
  • Generate association rules on image data (the RGBY values), and on text data separately. Propose an algorithm to link these two different domains together.
  • Goal: return words that will describe a given unknown picture
single pass rebuild
Single pass rebuild
  • Specify common key
  • Rebuild the tables based on the common key
  • Use Apriori
  • EXAMPLE:

Table 1:

purchase(customer,item,amount)

item(customer,item_id)

Table 2

purchase_total(customer,items)

Query:

Customers who buy a lot of stuff what do they usually but?

purchase_total(X,items)

return item(X,item_id)

conclusion
Conclusion
  • So we have a partial solution multimedia ARM problem, however there many things that can be done further, to improve upon it.
  • Need to find a way to restrict the number of keywords that we get.
  • Need to find an easier method than the present lookup method, as too many files are involved.
  • Need for an efficient data structure to do the above point.
  • Alternative Schemes
the end
The End

Please visit our project’s website at http://www.cs.rit.edu/~p759-06c

to find detailed information.

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