loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Manel Fourati ; Anis Jedidi and Faiez Gargouri

Affiliation: University of Sfax, Tunisia

Keyword(s): Annotation, Audiovisual documents, Genre, Semantic.

Abstract: Audiovisual documents are among the most proliferated resources. Faced with these huge quantities produced every day, the lack of significant descriptions without missing the important content arises. The extraction of these descriptions requires an analysis of the audiovisual document’s content. The automation of the process of describing audiovisual documents is essential because of the richness and the diversity of the available analytical criteria. In this paper, we present a method that allows the extraction of a semantic and automatic description from the content such as genre. We chose to describe cinematic audiovisual documents based on the documentation prepared in the pre-production phase of films, namely synopsis. The experimental result on Imdb (Internet Movie Database) and the Wikipedia encyclopedia indicate that our method of genre detection is better than the result of these corpuses.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.236.112.101

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Fourati, M.; Jedidi, A. and Gargouri, F. (2014). Automatic Audiovisual Documents Genre Description. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2014) - SSTM; ISBN 978-989-758-048-2; ISSN 2184-3228, SciTePress, pages 538-543. DOI: 10.5220/0005170905380543

@conference{sstm14,
author={Manel Fourati. and Anis Jedidi. and Faiez Gargouri.},
title={Automatic Audiovisual Documents Genre Description},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2014) - SSTM},
year={2014},
pages={538-543},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005170905380543},
isbn={978-989-758-048-2},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2014) - SSTM
TI - Automatic Audiovisual Documents Genre Description
SN - 978-989-758-048-2
IS - 2184-3228
AU - Fourati, M.
AU - Jedidi, A.
AU - Gargouri, F.
PY - 2014
SP - 538
EP - 543
DO - 10.5220/0005170905380543
PB - SciTePress