Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Video texture modelling and synthesis using fractal processes

Video texture modelling and synthesis using fractal processes

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Image Processing — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

The authors propose a new approach for the synthesis of natural video textures using a fractal-based approach. Specifically, a video texture is modelled according to the three-dimensional (3D) extended self-similar (ESS) model introduced, which generalises the fractional Brownian motion process. The analysis of original video textures is based on the estimation of the autocorrelation functions (ACFs) of the textures' increments. The 3D-ESS model is then used to synthesise a process whose increments have the same ACFs of the given prototype. The synthesis is accomplished by generalising to the 3D case the incremental Fourier synthesis algorithm. Experimental results for the analysis and synthesis of natural video textures are eventually provided.

References

    1. 1)
      • A.P. Pentland . Fractal-based description of natural scenes. IEEE Trans. Pattern Anal. Mach. Intell. , 661 - 674
    2. 2)
      • Stam, J., Fiume, E.: `Depicting fire and other gaseous phenomena using diffusion processes', Proc. SIGGRAPH, 1995, p. 129–136.
    3. 3)
      • Bhat, K.S., Seitz, S.M., Hodgins, J.K.: `Flow-based video synthesis and editing', Proc. ACM SIGGRAPH, 2004, p. 360–363.
    4. 4)
      • Balan, A.G.R., Traina, A.J.M., Traina, C.: `Fractal analysis of image textures for indexing and retrieval by content', IEEE Symp. Computer-Based Medical Systems, 23–24 June 2005, p. 581–586.
    5. 5)
      • J. Ilow , H. Leung . Self-similar texture modelling using FARIMA processes with application to satellite images. IEEE Trans. Image Process. , 792 - 797
    6. 6)
      • B.B. Mandelbrot . (1983) The fractal geometry of nature.
    7. 7)
      • D. Ebert , W. Carlson , R. Parent . Solid spaces and inverse particle systems for controlling the animation of gases and fluids. Vis. Comput. , 2 , 179 - 190
    8. 8)
      • Athale, S.S., Mitra, S.K., Banerjee, A.: `A fractal based approach for face recognition', International Conf. Intelligent Sensing and Information Processing, 4–7 January 2005, p. 170–174.
    9. 9)
      • Foster, N., Fedwik, R.: `Practical animation of liquids', Proc. ACM SIGGRAPH, 2001, p. 15–22.
    10. 10)
      • Wei, L.Y., Levoy, M.: `Fast texture synthesis using tree-structured vector quantization', Proc. ACM SIGGRAPH, 2000, p. 479–488.
    11. 11)
      • Costantini, R., Sbaiz, L., Susstrunk, S.: `Dynamic texture synthesis: compact models based on Luminance-chrominance color representation', IEEE Int. Conf. Image Processing, 8–11 October 2006, p. 2085–2088.
    12. 12)
      • M. Petrou , P.D. Sevilla . (2006) Dealing with textures.
    13. 13)
      • Kwatra, V., Schödl, A., Essa, I.: `Graphcut textures: image and video synthesis using graph cuts', Proc. ACM SIGGRAPH, 2003, p. 277–286.
    14. 14)
    15. 15)
      • Barnsley, M.F., Hutchinson, J.: `New methods in fractal imaging', Int. Conf. Computer Graphics, Imaging and Visualisation, 26–28 July 2006, p. 296–301.
    16. 16)
      • A. Rahman , M. Murshed . A motion-based approach for temporal texture synthesis. TENCON 2005
    17. 17)
      • Szummer, M., Picard, R.: `Temporal texture modeling', IEEE Int. Conf. Image Processing, 1996, 3, p. 823–826.
    18. 18)
      • http://www.vision.ee.ethz.ch/~rpaget/links.htm.
    19. 19)
      • Schödl, A., Szeliski, R., Salesin, D.H., Essa, I.: `Video textures', Proc. ACM SIGGRAPH, 2000, p. 489–498.
    20. 20)
      • Kapoor, A., Arora, K., Jain, A.: `Stochastic image compression using fractals', Int. Conf. Information Technology: Coding and Computing [Computers and Communications], 28–30 April 2003, p. 574–579.
    21. 21)
    22. 22)
    23. 23)
      • M. Barnsley . (1988) Fractals everywhere.
    24. 24)
    25. 25)
      • K. Falconer . (2003) Fractal geometry: mathematical foundations and applications.
    26. 26)
      • Y. Wang , S.-C. Zhu . Analysis and synthesis of textured motion: particles and waves. IEEE Trans. Pattern Anal. Mach. Intell. , 10 , 1348 - 1363
    27. 27)
      • P. Campisi , E. Maiorana , A. Neri . Video texture synthesis using fractal processes. Proc. SPIE , 349 - 357
    28. 28)
    29. 29)
    30. 30)
      • Fournier, A., Reeves, W.: `A simple model of ocean waves', Proc. ACM SIGGRAPH, 1986, p. 75–84.
    31. 31)
      • B.B. Mandelbrot , J.W. Van Ness . Fractional Brownian motions, fractionalnoises and applications. SIAM Rev. , 4 , 422 - 437
    32. 32)
    33. 33)
    34. 34)
      • Hussain, S.J., Siddiqui, M.S., Boghani, A.A.: `IFS-based image coding', IEEE Multitopic Conf., December 2006, p. 152–156.
    35. 35)
      • F. Schmitt , D. Schertzer , S. Lovejoy . Empirical study of multifractal phase transitions in atmospheric turbulence. Nonlinear Process. Geophys. , 2 , 95 - 104
    36. 36)
      • Liuy, C.-B., Liny, R.-S., Ahuja, N.: `Modeling dynamic textures using subspace mixtures', Int. Conf. Multimedia & Expo, 6–8 July 2005.
    37. 37)
    38. 38)
      • L.M. Kaplan , C.-C. Jay Kuo . Texture roughness analysis and synthesis via extended self similar (ESS) model. IEEE Trans. Pattern Anal. Mach. Intell. , 11 , 1043 - 1056
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-ipr_20065010
Loading

Related content

content/journals/10.1049/iet-ipr_20065010
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address