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A Novel Video Compression Method Based on Underdetermined Blind Source Separation

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Multimedia and Ubiquitous Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 240))

Abstract

If a piece of picture could contain a sequence of video frames, it is amazing. This paper develops a new video compression approach based on underdetermined blind source separation. Underdetermined blind source separation, which can be used to efficiently enhance the video compression ratio, is combined with various off-the-shelf codecs in this paper. Combining with MPEG-2, video compression ratio could be improved slightly more than 33 %. As for combing with H.264, twice compression ratio could be achieved with acceptable PSNR, according to different kinds of video sequences.

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References

  1. Hyvarinen A, Karhunen J, Oja E (2001) Independent component analysis. Wiley, New York

    Book  Google Scholar 

  2. Hyvarinen A (1999) Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans Neural Netw 10:626–634

    Article  Google Scholar 

  3. Cichocki A, Amari SI (2002) Adaptive blind signal and image processing: learning algorithms and applications. Wiley, Chichester

    Google Scholar 

  4. Georgiev P, Theis F, Cichocki A (2005) Sparse component analysis and blind source separation of underdetermined mixtures. IEEE Trans Neural Netw 16:992–996

    Article  Google Scholar 

  5. Li YQ, Cichocki A, Amari SI, Shishkin S, Cao JT, Gu FJ (2004) Sparse representation and its applications in blind source separation. In: Thrun S, Saul K, Scholkopf B (eds) Advances in neural information processing systems 16, vol 16. MIT Press, Cambridge, pp 241–248

    Google Scholar 

  6. Ren M.-r, Wang P (2009) Underdetermined blind source separation based on sparse component in electronic computer technology, 2009 international conference on. pp 174–177

    Google Scholar 

  7. Zhenwei S, Huanwen T, Yiyuan T (2005) Blind source separation of more sources than mixtures using sparse mixture models. Pattern Recogn Lett 26:2491–2499

    Article  Google Scholar 

  8. Lee TW, Lewicki MS, Girolami M, Sejnowski TJ (1999) Blind source separation of more sources than mixtures using overcomplete representations. IEEE Signal Process Lett 6:87–90

    Article  Google Scholar 

  9. Waheed K, Salem FM (eds) (2003) Algebraic independent component analysis: An approach for separation of overcomplete speech mixtures. In: Proceedings of the IEEE, international joint conference on neural networks 2003, vols 1–4. New York, pp 775–780

    Google Scholar 

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Correspondence to Fei Qiao .

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Liu, J., Qiao, F., Wei, Q., Yang, H. (2013). A Novel Video Compression Method Based on Underdetermined Blind Source Separation. In: Park, J., Ng, JY., Jeong, HY., Waluyo, B. (eds) Multimedia and Ubiquitous Engineering. Lecture Notes in Electrical Engineering, vol 240. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6738-6_2

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  • DOI: https://doi.org/10.1007/978-94-007-6738-6_2

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6737-9

  • Online ISBN: 978-94-007-6738-6

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