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A Model-Based Iterative Method for Caption Extraction in Compressed MPEG Video

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Semantic Multimedia (SAMT 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4816))

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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.

Work partially supported by the European Commission under its 6th Framework Programme (FP6-027685 - MESH Project) and by Spanish Institutions under projects TIN2004-07860-C02-01 and S-0505-TIC-0223.

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References

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Bianca Falcidieno Michela Spagnuolo Yannis Avrithis Ioannis Kompatsiaris Paul Buitelaar

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© 2007 Springer-Verlag Berlin Heidelberg

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Márquez, D., Bescós, J. (2007). A Model-Based Iterative Method for Caption Extraction in Compressed MPEG Video. In: Falcidieno, B., Spagnuolo, M., Avrithis, Y., Kompatsiaris, I., Buitelaar, P. (eds) Semantic Multimedia. SAMT 2007. Lecture Notes in Computer Science, vol 4816. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77051-0_9

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  • DOI: https://doi.org/10.1007/978-3-540-77051-0_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77033-6

  • Online ISBN: 978-3-540-77051-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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