A model-based iterative method for caption extraction in compressed MPEG video

  • Authors:
  • Daniel Márquez;Jesús Bescós

  • Affiliations:
  • Grupo de Tratamiento de Imágenes, Escuela Politécnica Superior, Universidad Autónoma de Madrid, Madrid, Spain;Grupo de Tratamiento de Imágenes, Escuela Politécnica Superior, Universidad Autónoma de Madrid, Madrid, Spain

  • Venue:
  • SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

We here describe a method for caption extraction that totally works in the MPEG compressed domain. As opposed to other compressed domain methods; it does not need to refine their results in the pixel domain. It consists of two phases: first, a selection of candidate frames with captions, based on a rigorous statistical design of an AC coefficients mask; second, an extraction of caption boxes from the pre-selected set of candidate frames. Caption extraction relies on a model-based approach to obtaining the caption mask, robust enough to avoid the use of any subsequent refinement.