Towards Neural-Symbolic AI for Media Understanding. Costa, P. B., Marques, G., Serra, A. C., Moraes, D. d. S., Busson, A. J. G., Guedes, Á. L. V., Lima, G., & Colcher, S. In Anais Estendidos do Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia), pages 169–172, 2020. Conference Name: Anais Estendidos do XXVI Simpósio Brasileiro de Sistemas Multimídia e Web Publisher: SBC![Towards Neural-Symbolic AI for Media Understanding [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper Year doi abstract bibtex 10 downloads Resumo Methods based on Machine Learning have become state-of-the-art in various segments of computing, especially in the fields of computer vision, speech recognition, and natural language processing. Such methods, however, generally work best when applied to specific tasks in specific domains where large training datasets are available. This paper presents an overview of the state-of-the-art in the area of Deep Learning for Multimedia Content Analysis (image, audio, and video), and describe recent works that propose The integration of deep learning with symbolic AI reasoning. We draw a picture of the future by discussing envisaged use cases that address media understanding gaps which can be solved by the integration of machine learning and symbolic AI, the so-called Neuro-Symbolic integration.
@inproceedings{costa_towards_2020,
title = {Towards Neural-Symbolic {AI} for Media Understanding},
rights = {Copyright (c)},
url = {https://sol.sbc.org.br/index.php/webmedia_estendido/article/view/13083},
doi = {10.5753/webmedia_estendido.2020.13083},
abstract = {Resumo
Methods based on Machine Learning have become state-of-the-art in various segments of computing, especially in the fields of computer vision, speech recognition, and natural language processing. Such methods, however, generally work best when applied to specific tasks in specific domains where large training datasets are available. This paper presents an overview of the state-of-the-art in the area of Deep Learning for Multimedia Content Analysis (image, audio, and video), and describe recent works that propose The integration of deep learning with symbolic {AI} reasoning. We draw a picture of the future by discussing envisaged use cases that address media understanding gaps which can be solved by the integration of machine learning and symbolic {AI}, the so-called Neuro-Symbolic integration.},
pages = {169--172},
booktitle = {Anais Estendidos do Simpósio Brasileiro de Sistemas Multimídia e Web ({WebMedia})},
author = {Costa, Polyana B. and Marques, Guilherme and Serra, Arhur C. and Moraes, Daniel de S. and Busson, Antonio J. G. and Guedes, Álan L. V. and Lima, Guilherme and Colcher, Sérgio},
urlyear = {2020},
year = {2020},
langid = {portuguese},
note = {Conference Name: Anais Estendidos do {XXVI} Simpósio Brasileiro de Sistemas Multimídia e Web
Publisher: {SBC}},
}
Downloads: 10
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