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Intelligent Semantic Access to Audiovisual Content

  • Yannis Avrithis
  • Giorgos Stamou
  • Anastasios Delopoulos
  • Stefanos Kollias
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2308)

Abstract

In this paper, an integrated information system is presented that offers enhanced search and retrieval capabilities to users of heterogeneous digital audiovisual (a/v) archives. This novel system exploits the advances in handling a/v content and related metadata, as introduced by MPEG-4 and worked out by MPEG-7, to offer advanced access services characterized by the tri-fold “semantic phrasing of the request (query)”, “unified handling” and “personalized response”. The proposed system is targeting the intelligent extraction of semantic information from a/v and text related data taking into account the nature of useful queries that users may issue, and the context determined by user profiles. From a technical point of view, it will play the role of an intermediate access server residing between the end users and multiple heterogeneous audiovisual archives organized according to new MPEG standards.

Keywords

User Preference User Profile Relevance Feedback User Query Usage History 
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 2002

Authors and Affiliations

  • Yannis Avrithis
    • 1
  • Giorgos Stamou
    • 1
  • Anastasios Delopoulos
    • 2
  • Stefanos Kollias
    • 1
  1. 1.Image, Video and Multimedia Systems Laboratory Department of Electrical and Computer EngineeringNational Technical University of AthensZographouGreece
  2. 2.Division of Electronics & Computer Engineering Department of Electrical and Computer Engineering Faculty of EngineeringAristotle University of ThessalonikiThessalonikiGreece

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