• DocumentCode
    2988403
  • Title

    Toward an assisted context based collaborative annotation

  • Author

    Ksentini, Nesrine ; Zarka, Mohamed ; Ben Ammar, Anis ; Alimi, Adel M.

  • Author_Institution
    Regim: Res. Group on Intell. Machines, Univ. of Sfax, Sfax, Tunisia
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper introduces a novel approach of video annotation by the use of context-based assistance for the annotator. The notion of context plays, actually, a significant role in the multimedia content search and retrieval systems. In fact, a semantic interpretation (or concept) separated from its context produces incomplete information. Moreover, each concept interpretation varies according to different contexts. The assistance that we introduce uses intelligent structures such as context ontology and previous annotation. The evaluation of the proposed assisted annotation prototype has led to promising results by the use of context in the annotation process.
  • Keywords
    ontologies (artificial intelligence); video retrieval; assisted context based collaborative annotation; context ontology; intelligent structures; multimedia content search and retrieval systems; previous annotation; semantic interpretation; video annotation; Collaboration; Context; Correlation; Ontologies; Semantics; Vectors; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Content-Based Multimedia Indexing (CBMI), 2012 10th International Workshop on
  • Conference_Location
    Annecy
  • ISSN
    1949-3983
  • Print_ISBN
    978-1-4673-2368-0
  • Electronic_ISBN
    1949-3983
  • Type

    conf

  • DOI
    10.1109/CBMI.2012.6269852
  • Filename
    6269852