A Combination between Textual and Visual Modalities for Knowledge Extraction of Movie Documents

Manel Fourati, Anis Jedidi, Faiez Gargouri

2019

Abstract

In view of the proliferation of audiovisual documents and the indexing limits mentioned in the literature, the progress of a new solution requires a better description extracted from the content. In this paper, we propose an approach to improve the description of the cinematic audiovisual documents. However, this consists not only in extracting the knowledge meaning conveyed in the content but also combining textual and visual modalities. In fact, the semiotic desription represents important information from the content. We propose in this paper an approach based on the use of pre and post production film documents. Consequently, we concentrate efforts to extract some descriptions about the use not only of the probalistic Latent Dirichlet Allocation (LDA) model but also of the semantic ontology LSCOM. Finally, a process of identifying a description is highlighted. In fact, the experimental results confirmed the importance of the performance of our approach through the comparison of our result with a human jugment and a semi-automatic method by using the MovieLens dataset.

Paper Citation

in Harvard Style

Fourati M., Jedidi A. and Gargouri F. (2019). A Combination between Textual and Visual Modalities for Knowledge Extraction of Movie Documents. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 2: KEOD; ISBN 978-989-758-382-7, SciTePress, pages 203-214. DOI: 10.5220/0008494902030214

in Bibtex Style

@conference{keod19,
author={Manel Fourati and Anis Jedidi and Faiez Gargouri},
title={A Combination between Textual and Visual Modalities for Knowledge Extraction of Movie Documents},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 2: KEOD},
year={2019},
pages={203-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008494902030214},
isbn={978-989-758-382-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 2: KEOD
TI - A Combination between Textual and Visual Modalities for Knowledge Extraction of Movie Documents
SN - 978-989-758-382-7
AU - Fourati M.
AU - Jedidi A.
AU - Gargouri F.
PY - 2019
SP - 203
EP - 214
DO - 10.5220/0008494902030214
PB - SciTePress