Semantic Indexing of Multimedia Documents

  • Authors:
  • Riccardo Leonardi;Pierangelo Migliorati

  • Affiliations:
  • -;-

  • Venue:
  • IEEE MultiMedia
  • Year:
  • 2002

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Abstract

The authors propose two approaches for semantic indexing of audio-visual documents, based on bottom-up and top-down strategies. They base the first approach on a finite-state machine using low-level motion indices extracted from an MPEG compressed bitstream. The second approach innovatively performs semantic indexing through Hidden Markov Models.