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A Semi-Automatic Soccer Video Annotation System based on Ontology Paradigm

Lamia Fatiha Kazi Tani,Abdelghani Ghomari,Mohammed Yassine Kazi Tani

Published 2019 in International Conference on Information, Communications and Signal Processing

ABSTRACT

Currently, the video annotation process becomes a very necessary task to overcome the problem of finding the adequate information on a huge database. To achieve this, it will be necessary to translate low level analysis results to a semantic meaning related to the video sequence, generally known as problem of semantic gap. Many researchers have worked on this issue in the aim to find new solutions, where the ontology paradigm is represented as one of them. In this paper, we consider this problem by developing a soccer ontology, that is used in our OSAS annotation system (Ontology Soccer Annotation System). This one is based on a set of Semantic Web Rule Language (SWRL) rules that bridges the semantic gap problem. Our idea show new directions and perspectives for future developments.

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    International Conference on Information, Communications and Signal Processing

  • Publication date

    2019-06-01

  • Fields of study

    Computer Science

  • Identifiers
    DOI 10.1109/IACS.2019.8809161
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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