Bridging the Gap between Semantics and Multimedia Processing. Moreno, M. F., Lima, G., Santos, R., Azevedo, R., & Endler, M. In 2019 IEEE International Symposium on Multimedia (ISM), pages 315-3153, 2019.
abstract   bibtex   
In this paper, we give an overview of the semantic gap problem in multimedia and discuss how machine learning and symbolic AI can be combined to narrow this gap. We describe the gap in terms of a classical architecture for multimedia processing and discuss a structured approach to bridge it. This approach combines machine learning (for mapping signals to objects) and symbolic AI (for linking objects to meanings). Our main goal is to raise awareness and discuss the challenges involved in this structured approach to multimedia understanding, especially in the view of the latest developments in machine learning and symbolic AI.
@inproceedings{2019_12_moreno,
author={M. F. {Moreno} and G. {Lima} and R. {Santos} and R. {Azevedo} and M.
{Endler}},
booktitle={2019 IEEE International Symposium on Multimedia (ISM)},
title={Bridging the Gap between Semantics and Multimedia Processing},
year={2019},
volume={},
number={},
pages={315-3153},
abstract={In this paper, we give an overview of the semantic gap problem in
multimedia and discuss how machine learning and symbolic AI can be combined
to narrow this gap. We describe the gap in terms of a classical architecture
for multimedia processing and discuss a structured approach to bridge it.
This approach combines machine learning (for mapping signals to objects) and
symbolic AI (for linking objects to meanings). Our main goal is to raise
awareness and discuss the challenges involved in this structured approach to
multimedia understanding, especially in the view of the latest developments
in machine learning and symbolic AI.},
}

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