CCA-based methods are popular within the IR community for learning multimodal embeddings (Costa Pereira et al., 2014;Gong et al., 2014).
we introduce an adaptive algorithm for characterizing the visual concreteness of all the concepts indexed textually (e.g., "dog") in a given multimodal dataset.