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AI-STRATA: A User-Centered Model for Content-Based Description and Retrieval of Audiovisual Sequences

  • Yannick Prié
  • Alain Mille
  • Jean-Marie Pinon
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1554)

Abstract

We first insist on the need for conceptual and knowledge-based audiovisual (AV) models in AV and multimedia information retrieval systems.We then propose several criteria for characterizing audiovisual representation approaches, and present a new approach for modeling and structuring AV documents with Annotations Interconnected Strata (AI-STRATA). This consists in analyzing AV documents through analysis dimensions allowing the detection of objects of interest of any type (structural, conceptual,...). Annotations are structured by annotation elements (AE) representing both objects of interest and relationships. A knowledge base is used in order to monitor the annotation process. We show how to use annotations to link different strata on the base of explicit or implicit contexts and how AI-Strata can be used to build contextual views of a stratum, using both annotation and knowledge levels. We finally show how the model can efficiently support different description tasks such as indexing, searching and browsing audiovisual material.

Keywords

Contextual Relation Information Retrieval System Multimedia Document Contextual View Audiovisual Material 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Yannick Prié
    • 1
  • Alain Mille
    • 2
  • Jean-Marie Pinon
    • 1
  1. 1.LISI 502, INSA LyonVilleurbanne CedexFrance
  2. 2.LISA, CPE-LYONVilleurbanne CedexFrance

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