2. The method of claim 1 , further comprising storing a multimedia affinity graph in one or more memories, wherein said affinity graph represents multimedia data samples as nodes and comprises edges measuring relatedness among data samples; and calculating a classification function based on at least the selected multimedia label data using a processor associated with said one or more memories, wherein calculating said classification function comprises iteratively performing at least updating selected multimedia label data relating to selected multimedia data or predicting new multimedia label data for stored multimedia data using said processor.
2. The method of claim 1 , further comprising storing a multimedia affinity graph in one or more memories, wherein said affinity graph represents multimedia data samples as nodes and comprises edges measuring relatedness among data samples; and calculating a classification function based on at least the selected multimedia label data using a processor associated with said one or more memories, wherein calculating said classification function comprises iteratively performing at least updating selected multimedia label data relating to selected multimedia data or predicting new multimedia label data for stored multimedia data using said processor. 5. The method of claim 2 , wherein calculating a classification function comprises incremental calculation using graph superposition, wherein a newly added label is incorporated incrementally without calculating a classification function using all labels.