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Motion driven adaptive transform based on wavelet transform for enhanced video coding

Authors:

Nikola Sprljan,

Marta Mrak,

Ebroul IzquierdoAuthors Info & Claims

MobiMedia '06: Proceedings of the 2nd international conference on Mobile multimedia communications

Article No.: 8, Pages 1 - 4

https://doi.org/10.1145/1374296.1374307

Published: 18 September 2006 Publication History

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Abstract

Spatial wavelet transform in video coding has traditionally been applied in a non-adaptive fashion. However, since motion compensation introduces specific structure into video frames, adaptive spatial transform can introduce additional coding gain. As the structure introduced by motion compensation depends on applied motion parameters, the same motion information can be used as an adaptation parameter in spatial decomposition. Specifically, in this paper motion driven adaptation on wavelet transform in its lifting implementation is proposed. The introduced computational complexity of the proposed method is low as only a few additional multiplications are introduced per lifting step. Since in this case the same motion information is available at both encoder and decoder, transmission of additional side information is not needed. Besides better energy compaction, the proposed scheme introduces considerable gain when applied in scalable video coding.

References

[1]

Mehrseresht, N., Taubman, D., "A flexible structure for fully scalable motion compensated 3D-DWT with emphasis on the impact of spatial scalability," IEEE Trans. Image Processing, vol. 15, pp. 740--753, 2006.

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[2]

Chen, P., Woods, J. W., "Bidirectional MC-EZBC with lifting implementation," IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 10, pp. 1183--1194, Oct. 2004.

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[3]

Xiong, R., Xu, J., Wu, F., Li, S., Zhang, Y.-Q., "Spatial scalability in 3D wavelet coding with spatial domain MCTF encoder," in Proc. Picture Coding Symp. (PCS), San Francisco, USA, Dec. 2004

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[4]

Sprljan, N., Mrak, M., Zgaljic, T., Izquierdo, E., "Software proposal for Wavelet Video Coding Exploration group", ISO/IEC JTC1/SC29/WG11/MPEG2006/M12941, 75th MPEG Meeting, Bangkok, Thailand, January 2006

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Taubman, D. and Marcellin, M. W., JPEG2000 Image Compression: Fundamentals, Standards and Practice, Kluwer Academic Publishers, 2002.

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Daubechies, I. and Sweldens, W., "Factoring Wavelet Transforms into Lifting Steps", J. Fourier Anal. Appl., Vol. 4, Nr. 3, 1998.

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Cited By

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Peixoto EZgaljic TIzquierdo E(2012)Transcoding From Hybrid Nonscalable to Wavelet-Based Scalable Video CodecsIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2011.216817522:4(502-515)Online publication date: 1-Apr-2012
https://dl.acm.org/doi/10.1109/TCSVT.2011.2168175
Ekmekcioglu EMrak MWorrall SKondoz A(2009)Utilisation of edge adaptive upsampling in compression of depth MAP videos for enhanced free-viewpoint renderingProceedings of the 16th IEEE international conference on Image processing10.5555/1818719.1818937(733-736)Online publication date: 7-Nov-2009
https://dl.acm.org/doi/10.5555/1818719.1818937
Ekmekcioglu EMrak MWorrall SKondoz A(2009)Utilisation of edge adaptive upsampling in compression of depth map videos for enhanced free-viewpoint rendering2009 16th IEEE International Conference on Image Processing (ICIP)10.1109/ICIP.2009.5414296(733-736)Online publication date: Nov-2009
https://doi.org/10.1109/ICIP.2009.5414296
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Index Terms

Motion driven adaptive transform based on wavelet transform for enhanced video coding
1. Mathematics of computing
  1. Information theory
    1. Coding theory
2. Security and privacy
  1. Cryptography
    1. Mathematical foundations of cryptography

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MobiMedia '06: Proceedings of the 2nd international conference on Mobile multimedia communications

September 2006

281 pages

ISBN:1595935177

DOI:10.1145/1374296

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 18 September 2006

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Peixoto EZgaljic TIzquierdo E(2012)Transcoding From Hybrid Nonscalable to Wavelet-Based Scalable Video CodecsIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2011.216817522:4(502-515)Online publication date: 1-Apr-2012
https://dl.acm.org/doi/10.1109/TCSVT.2011.2168175
Ekmekcioglu EMrak MWorrall SKondoz A(2009)Utilisation of edge adaptive upsampling in compression of depth MAP videos for enhanced free-viewpoint renderingProceedings of the 16th IEEE international conference on Image processing10.5555/1818719.1818937(733-736)Online publication date: 7-Nov-2009
https://dl.acm.org/doi/10.5555/1818719.1818937
Ekmekcioglu EMrak MWorrall SKondoz A(2009)Utilisation of edge adaptive upsampling in compression of depth map videos for enhanced free-viewpoint rendering2009 16th IEEE International Conference on Image Processing (ICIP)10.1109/ICIP.2009.5414296(733-736)Online publication date: Nov-2009
https://doi.org/10.1109/ICIP.2009.5414296
Mrak MZgaljic T(2009)Flexible Motion Models for Scalable and High Definition Video CodingRecent Advances in Multimedia Signal Processing and Communications10.1007/978-3-642-02900-4_9(209-243)Online publication date: 2009
https://doi.org/10.1007/978-3-642-02900-4_9
Mrak MIzquierdo E(2007)Spatially Adaptive Wavelet Transform for Video Coding with Multi-Scale Motion Compensation2007 IEEE International Conference on Image Processing10.1109/ICIP.2007.4379156(II - 317-II - 320)Online publication date: Sep-2007
https://doi.org/10.1109/ICIP.2007.4379156

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Bit-stream allocation methods for wavelet based scalable video coding

3D Model compression using Connectivity-Guided Adaptive Wavelet Transform built into 2D SPIHT

Point-Wise Adaptive Wavelet Transform for Signal Denoising

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