Fussion Based Side Information Creation Method for Distributed Scalable Video Coding
Main Article Content
Abstract
In recent years, video entertainment demand has significantly changed. Video content is transmitted through different bandwidth connections and played on many devices that have different processing capabilities and screen sizes. For this reason, scalable extensions of video coding standards have been released, e.g SHVC, scalable extension of HEVC. Beside high compression efficiency, SHVC has disadvantages including high encoder complexity and weakness in error resilience. These are not suitable for emerging applications such as wireless sensor networks, video surveillance systems or remote sensing that have limited processing capabilities, low energy and low network bandwidth. A potential solution supporting for these systems is Distributed Scalable Video Coding (DSVC). In DSVC system, Side Information (SI) creation plays a critical role in deciding system overall performance. Therefore, this paper proposes a spatially scalable DSVC architecture and a new side information creation technique for this DSVC system. Results show that the proposed method generates better quality Sl when compared to some previous Sl creation methods. Consequently, the system performance is improved when compared with the previous methods.
Keywords
DVC, DSVC, Side information
Article Details
References
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[2] P.L Dragotti and M. Gastpar. Distributed Source Coding: Theory, Algorithms and Applications, Academic Press, Feb. 2009.
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[8] Yuan Jia, Yangli Wang. Rui Song, Jiandong Li: Decoder side information generation techniques in Wyner-Ziv video coding: a review, Springer Science+Business Media New York 2013.
[9] Natario L. Brites C, Ascenso J, Pereira F: Extrapolating side information for low-delay pixel-domain distributed video coding. In 9th international workshop on visual content processing and representation, VLBV 2005, 15-16 Sept 2005.
[10] Borchert, R.P. Westerlaken, R. Klein Gunnewiek, and R.L. Lagendijk. On extrapolating side information in distributed video coding. In 26th Picture Coding System, Lisbon, Portugal, November 2007.
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[12] Abou-Elailah A, Dufaux F, Farah J, Cagnazzo M, Pesquest-Popescu B (2013) Fusion of global and local motion estimation for distributed video coding. IEEE Trans Circuits Syst Video Technol 23(1):158-172.
[13] AaronA. Rane S.Girod B (2004) Wyner-ziv video coding with hash-based motion compensation at the receiver. In: IEEE International Conference on Image Processing, ICIP 2004. vol 2. IEEE, pp 3097-3100.
[14] Thao N.T.H, Tien.V.H. Xiem H.V, Duong D.T, Side information creation using adaptive block size for distributed video coding. Advanced Technologies for Communications (ATC), 2016 International Conference, pp 339-343.
[2] P.L Dragotti and M. Gastpar. Distributed Source Coding: Theory, Algorithms and Applications, Academic Press, Feb. 2009.
[3] X. HoangVan, J. Ascenso, and F. Pereira, HEVC backward compatible scalability: A low encoding complexity distributed video coding based approach, Signal Process.: Image Commun., vol. 33, no. 4. pp. 51-70, Apr. 2015.
[4] X. HoangVan, J. Ascenso, and F. Pereira., Adaptive Scalable Video Coding: a HEVC based Framework Combining the Predictive and Distributed Paradigms, IEEE TCSVT, vol. 99, no. 00, pp. 1-14, Mar. 2016.
[5] Myeong-jin Lee, "Side information generation for frame rate scalable distributed video codecs", Electronics Letters, vol. 50, no. 5, pp. 370-372, Feb. 2014.
[6] BrunoMacchiavello, Fernanda Brandi, Eduardo Peixoto, Ricardo L. de Queiroz, and Debargha Mukherjee, "Side-Information Generation for Temporally and Spatially scalable Wyner-Ziv Codecs, EURASIP Journal on Image and Video Processing, Volume 2009, Article ID 171257.
[7] B. Girod, et al., Distributed video coding, Proc. IEEE93(1) (2005) 71-83.
[8] Yuan Jia, Yangli Wang. Rui Song, Jiandong Li: Decoder side information generation techniques in Wyner-Ziv video coding: a review, Springer Science+Business Media New York 2013.
[9] Natario L. Brites C, Ascenso J, Pereira F: Extrapolating side information for low-delay pixel-domain distributed video coding. In 9th international workshop on visual content processing and representation, VLBV 2005, 15-16 Sept 2005.
[10] Borchert, R.P. Westerlaken, R. Klein Gunnewiek, and R.L. Lagendijk. On extrapolating side information in distributed video coding. In 26th Picture Coding System, Lisbon, Portugal, November 2007.
[11] Ascenso J, Brites C, Pereira F (2005) Improving frame interpolation with spatial motion smoothing for pixel domain distributed video coding. In: 5th EURASIP conference on speech and image processing, multimedia communications and services. Smolenice, Slovak Republic, pp 1-6.
[12] Abou-Elailah A, Dufaux F, Farah J, Cagnazzo M, Pesquest-Popescu B (2013) Fusion of global and local motion estimation for distributed video coding. IEEE Trans Circuits Syst Video Technol 23(1):158-172.
[13] AaronA. Rane S.Girod B (2004) Wyner-ziv video coding with hash-based motion compensation at the receiver. In: IEEE International Conference on Image Processing, ICIP 2004. vol 2. IEEE, pp 3097-3100.
[14] Thao N.T.H, Tien.V.H. Xiem H.V, Duong D.T, Side information creation using adaptive block size for distributed video coding. Advanced Technologies for Communications (ATC), 2016 International Conference, pp 339-343.