Research examining multisensory integration suggests that the correspondence of stimulus characteristics across modalities (cross-modal correspondence) can have a dramatic influence on both neurophysiological and perceptual responses to multimodal stimulation.
We describe the infrastructure and functionality for a centralized preclinical and clinical data repository and analytic platform to support importing heterogeneous multi-modal data, automatically and manually linking data across modalities and sites, and searching content.
A grouping of common factors across modalities is the basis of our proposed emotion representation.
This binding problem presents itself at all levels of processing, both within and across modalities.
The other compelling result is a significant correlation between these effects across modalities.
Translating across modalities may serve this purpose, although translating is not necessarily an easy task (Ainsworth, Bibby, & Wood, 2002).
We also propose an original method to create semantic hyperlinks across modalities, thus enabling navigational features in news videos.
This research therefore adds to the literature on processing fluency because it suggests that fluency transfers across modalities.
Moreover, regardless of the segmentation step, automatically enriching video contents with semantic links, eventually across modalities, have seldom been attempted [10, 11].
One of the key features of Internet TV diffusion is to enhance navigability by adding links between contents and across modalities.
Thus, the semantic knowledge system appears to entail sensory-specific representations organized according to within-modality features relying on convergence zones to integrate information across modalities.
