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Refinement of Near Random Access Video Coding with Weighted Finite Automata

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4094))

Abstract

Random access video compression is mostly implemented without any reduction of temporal redundancy. Standard video compression systems like MPEG (1,2 and 4) are heavily based on motion compensation, which to some extent makes random access at single frame level impossible. We present a method for near random access video compression of low-motion video that is based on the discrete cosine transform and vector quantization and refine this system using weighted finite automata while keeping the random access property and using some reduction of temporal redundancy.

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References

  1. ISO/IEC, ISO/IEC 11172-2:1993, Information technology – Coding of moving pictures and associated audio for digital storage media at up to about 1,5 Mbit/s – Part 2: Video (MPEG1-Video). ISO/IEC (1993)

    Google Scholar 

  2. ISO/IEC, ISO/IEC 13818-2:2000, Information technology – Generic coding of moving pictures and associated audio information: Video (MPEG2-Video). ISO/IEC (2000)

    Google Scholar 

  3. ISO/IEC, ISO/IEC 14496-2:2004. Information technology – Coding of audio-visual objects – Part 2: Visual (MPEG4-Video). ISO/IEC (2004)

    Google Scholar 

  4. Watkinson, J.: The MPEG Handbook, 2nd edn. Focal Press (2004)

    Google Scholar 

  5. Ahmed, N., Natarajan, T., Rao, K.R.: Discrete cosine transform. IEEE Transactions on Computers C-32, 90–93 (1974)

    Article  MathSciNet  Google Scholar 

  6. Wallace, G.K.: The JPEG still picture compression standard. Communications of the ACM 34(4), 30–44 (1991)

    Article  Google Scholar 

  7. ISO/IEC: ISO/IEC IS 10918-1:1994, Information technology - Digital compression and coding of continuous-tone still images: Requirements and guidelines. ISO/IEC (1994)

    Google Scholar 

  8. Hafner, U.: Low Bit-Rate Image and Video Coding with Weighted Finite Automata. Mensch und Buch Verlag, Berlin (1999)

    Google Scholar 

  9. Culik II, K., Kari, J.: Image Compression Using Weighted Finite Automata. Computer and Graphics 17(3), 305–313 (1993)

    Article  Google Scholar 

  10. Culik II, K., Kari, J.: Image-data compression using edge-optimizing algorithm for WFA inference. Journal of Information Processing and Management 30, 829–838 (1994)

    Article  Google Scholar 

  11. Culik II, K., Kari, J.: Efficient inference algorithm for weighted finite automata. In: Fisher, Y. (ed.) Fractal Image Encoding and Compression. Springer, Heidelberg (1995)

    Google Scholar 

  12. Culik II, K., Kari, K.: Inference Algorithms for WFA and Image Compression. In: Fisher, Y. (ed.) Fractal Image Encoding and Compression. Springer, Heidelberg (1995)

    Google Scholar 

  13. Schützenberger, M.P.: On the definition of a family of automata. Information and Control 4(2-3), 245–270 (1961)

    Article  MATH  MathSciNet  Google Scholar 

  14. Culik II, K., Karhumäki, J.: Finite automata computing real functions. SIAM Journal on Computing 23(4), 789–814 (1994)

    Article  MATH  MathSciNet  Google Scholar 

  15. Derencourt, D., Karhumäki, J., Latteux, M., Terlutte, A.: On Computational Power of Weighted Finite Automata. In: Havel, I.M., Koubek, V. (eds.) MFCS 1992. LNCS, vol. 629, pp. 236–245. Springer, Heidelberg (1992)

    Google Scholar 

  16. Droste, M., Kari, J., Steinby, P.: Observations on the smoothness properties of real functions computed by weighted finite automata. Fundamenta Informaticae (to appear)

    Google Scholar 

  17. Berstell, J., Reutenauer, C.: Rational Series and Their Languages. Springer, Berlin (1988)

    Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Tischler, G. (2006). Refinement of Near Random Access Video Coding with Weighted Finite Automata. In: Ibarra, O.H., Yen, HC. (eds) Implementation and Application of Automata. CIAA 2006. Lecture Notes in Computer Science, vol 4094. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11812128_6

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  • DOI: https://doi.org/10.1007/11812128_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37213-4

  • Online ISBN: 978-3-540-37214-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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