Problem : In a visual object categorization, a context in an image can be a good leverage to enhance the categorization accuracy.
Solution : The proposed approach maximizes object label agreement using conditional random field according to contextual relevance from given training dataset(PASCAL, MSRC) and Google Set.
Comment : The approach using two different dataset might show different contextual relevance which decreases the test accuracy.
