Skip to main content
SpringerLink
Log in

Modified EM-Algorithm for Motion Field Refinement in Motion Compensated Frame Interpoliation

  • Conference paper
  • First Online:
Internet of Things, Smart Spaces, and Next Generation Networks and Systems (ruSMART 2017, NsCC 2017, NEW2AN 2017)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 10531))

  • 1919 Accesses

Abstract

Motion-compensated frame interpolation is required in many applications, e.g. packet-based video transmission error concealment, frame rate up-conversion, etc. One of the most important challenges of temporal interpolation is the accuracy of motion estimation. Several approaches for improving the motion estimation performance are proposed in this paper. Global motion vectors and motion segmentation allow for motion vectors field refinement. Performance of proposed motion-compensated temporal interpolation method is compared with several modern temporal interpolation methods.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Rajala, S., Abdelqadar, I., Bilbro, G., Snyder, W.: Motion estimation optimization. In: Proceedings of IEEE Internernational Conference on Acoustics, Speech and Signal Processing (ICASSP 1992), San Francisco, 23–26 March 1992, pp. 253–256 (1992). doi:10.1109/ICASSP.1992.226203

  2. Veselov, A., Gilmutdinov, M.: Algorithm of motion field optimization for temporal frame interpolation. Informatsionno-upravliaiushchie sistemy 4(71), 25–28 (2014)

    Google Scholar 

  3. Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Trans. Pattern Anal. Mach. Intell. 26(9), 1124–1137 (2004). doi:10.1109/TPAMI.2004.60

    Article  MATH  Google Scholar 

  4. Fischler, M., Bolles, R.: Random sample consensus: a paradigm for model fitting with application to image analysis and automated cartography. Commun. Assoc. Comp. Mach. 24, 381–395 (1981)

    MathSciNet  Google Scholar 

  5. Haan, G.: Motion estimation and compensation. Ph.D. thesis, Delft University of Technology, 17 September 1992

    Google Scholar 

  6. Huang, A.-M., Nguyen, T.: Correlation-based motion vector processing with adaptive interpolation scheme for motion-compensated frame interpolation. IEEE Trans. Image Process. 18(4), 740–752 (2009)

    Article  MathSciNet  Google Scholar 

  7. Veselov A., Gilmutdinov M.: Iterative hierarchical true motion estimation for temlioral frame interliolation. In: IEEE International Worksholi on Multimedia Signal Processing, MMSP (2014)

    Google Scholar 

  8. Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. B 39(1), 138 (1977)

    MathSciNet  MATH  Google Scholar 

  9. Weiss, Y., Adelson, E.H.: Perceptually organized EM: a framework for motion segmentation that combines information about form and motion. In: M.I.T Media Laboratory Perceptual Computing Section Technical Report No. 315. ICCV 1998 (1998)

    Google Scholar 

  10. Wang, Q.: HMRF-EM-image: implementation of the Hidden Markov random field model and its expectation-maximization algorithm, 18 December 2012. arXiv:1207.3510v2 [cs.CV]

  11. Frame rate conversion filter MSU. http://compression.graphicon.ru/video/motion_estimation/

  12. Seong-Gyun, J., Chul, L., Chang-Su, K.: Motion-compensated frame interpolation based on multihypothesis motion estimation and texture optimization. IEEE Trans. Image Process. 22(11), 4497–4509 (2013)

    Article  MathSciNet  Google Scholar 

  13. Frame rate conversion filter MVTools Avisynth plugin. http://avisynth.org.ru/mvtools/mvtools2.html

Download references

Author information

Authors and Affiliations

  1. Saint Petersburg State University of Aerospace Instrumentation (SUAI), 67, Bolshaya Morskaya str., Saint Petersburg, 190000, Russia

    Nikolay Nemcev & Marat Gilmutdinov

Authors
  1. Nikolay Nemcev
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marat Gilmutdinov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nikolay Nemcev .

Editor information

Editors and Affiliations

  1. Electronics and Communication Engineering, Tampere University of Technology, Tampere, Finland

    Olga Galinina

  2. Electronics and Communication Engineering, Tampere University of Technology, Tampere, Finland

    Sergey Andreev

  3. FRUCT Oy, Helsinki, Finland

    Sergey Balandin

  4. Tampere University of Technology, Tampere, Finland

    Yevgeni Koucheryavy

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Nemcev, N., Gilmutdinov, M. (2017). Modified EM-Algorithm for Motion Field Refinement in Motion Compensated Frame Interpoliation. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NsCC NEW2AN 2017 2017 2017. Lecture Notes in Computer Science(), vol 10531. Springer, Cham. https://doi.org/10.1007/978-3-319-67380-6_63

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67380-6_63

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67379-0

  • Online ISBN: 978-3-319-67380-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation