Bridging the Gap between Semantics and Multimedia Processing
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.
Cite
@article{arxiv.1911.11631,
title = {Bridging the Gap between Semantics and Multimedia Processing},
author = {Marcio Ferreira Moreno and Guilherme Lima and Rodrigo Costa Mesquita Santos and Roberto Azevedo and Markus Endler},
journal= {arXiv preprint arXiv:1911.11631},
year = {2019}
}
Comments
1st International Workshop on Bridging the Gap between Semantics and Multimedia Processing (SeMP 2019): http://semp.mybluemix.net/2019/. arXiv admin note: text overlap with arXiv:1911.09606