Biocomputing and Media Research Lab

Image: Figures pertaining to research

Characterizing Emergent Semantics of Media-based Information


Dealing with the emergent semantics of image and media-based information is one of the most challenging aspects of theoretical, algorithmic, and systems-oriented research in Multimedia. Emergent semantics implies that media is endowed with meaning by placing it in context of other similar media and through factors that are user specific. This means that unlike alphanumeric data, a fixed semantics cannot be assigned to media. While this intriguing aspect of media has been known for nearly a decade, there has been little research to develop rigorous frameworks to study this phenomenon or design quantitative models that can be applied in practice to study emergent semantics across users. In the project we are investigating the use of network models to formalize the notion of emergent semantics and develop rigorous models that can be used to characterize real-world data.

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