Explain the three categories observed while mining association in multimedia data.

 Mining Association in Multimedia data

Association rules involving multimedia objects can be mined in image and video databases. At least three categories can be observed:

1. Associations between image content and nonimage content features: A rule like "If at least 50% of the upper part of the picture is blue, then it is likely to represent sky" belongs to this category since it links the image content to the keyword sky.

2. Associations among image contents that are not related to spatial relationships: A rule like "If a picture contains two blue squares, then it is likely to contain one red circle as well" belongs to this category since the associations are all regarding image contents.

3. Associations among image contents related to spatial relationships: A rule like "If a red triangle is between two yellow squares, then it is likely a big oval-shaped object is underneath" belongs to this category since it associates objects in the image with spatial relationships

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