Fisher Linear Discriminant Analysis for text-image combination in multimedia information retrieval
We model text and image documents with bag-of-words approach. We Fisher LDA for learning weights assigned to each modality. We experiment our model on ImageCLEF datasets 2008 and 2009. Our model outperforms the use of the single textual modality. Our method provides a nearly optimal learning with an efficient computation.
multimedia information retrieval bag-of-words textual and visual information parameters learning fischer lda