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http://dx.doi.org/10.5392/JKCA.2014.14.04.009

Adaptive Multi-view Video Interpolation Method Based on Inter-view Nonlinear Moving Blocks Estimation  

Kim, Jin-Soo (한밭대학교 정보통신공학과)
Publication Information
Abstract
Recently, many researches have been focused on multi-view video applications and services such as wireless video surveillance networks, wireless video sensor networks and wireless mobile video. In multi-view video signal processing, to exploit the strong correlation between images acquired by different cameras plays great role in developing a core technique of multi-view video coding. This paper proposes an adaptive multi-view video interpolation technique which is applicable for multi-view distributed video coding without requiring any cooperation amongst the cameras. The proposed algorithm estimates the non-linear moving blocks and employs disparity compensated view prediction, and then fills in the unreliable blocks. Through computer simulations, it is shown that the proposed method outperforms the conventional methods.
Keywords
Multi-view Video; Coding Distributed Video; Coding Disparity Compensated View Prediction; Motion Compensated Frame Interpolation;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 M. Ouaret, F. Dufaux, and T. Ebrahimi, "Fusion-based Multiview Distributed Video Coding," ACM International Workshopon Video Surveilance and Sensor Networks, Santa Barbara, CA. USA, 2006(10).
2 A. Smolic, K. Mueller, T. Rein, P. Eisert, and T. Wiegand, "Free Viewpoint Video Extraction, Representation, Coding, and Rendering," IEEE International Conference on Image Processing, Vol. 5, pp. 3287-3290, 2004.
3 ISO/IEC JTC1/SC29/WG11, "Requirements on Multi-view Video Codingv. 7," N8218, 2006(7).
4 F. Dufaux, M. Ouaret, and T. Ebrahimi, "Recent Advances in Multi-View Distributed Video Coding," SPIE Mobile Multimedia/Image Processing for Military and Security Applications, 2012.
5 X. Artigas, F. Tarres, and L. Torres, "A Comparison of Different Side Information Generation Methods for Multiview Distributed Video Coding," International Conference on SIGMAP, 2007.
6 X. Artigas, E. Angeli, and L. Torres, "Side Information Generation for Multiview Distributed Video Coding Using a Fusion Approach," NORSIG'06, Reykjavik, Iceland, 2006(6).
7 T. Maugey, W. Miled, M. Cagnazzo, and B. P. Popsecu, "Fusion Schemes for Multiview Distributed Video Coding," 17th EUSIPCO 2009, Glasgow, Scotland, 2009(8).
8 N. Cheung, A. Ortega, and G. Cheung, "Rate-Distortion Based Reconstruction Optimizationin Distributed Source Coding for Interactive Multiview Video Streaming," Proc. of 2010 IEEE 17th ICIP, HongKong, 2010(9).
9 F. Xiao, J. Liu, and L. Liu, "Novel Side Information Generation Algorithm of Multiview Distributed Video Coding for Multimedia Sensor Networks," Int. Jour. of Distributed Sensor Networks, Vol. 2012
10 J. S. Kim, "Frame-Adaptive Distortion Estimation for Motion Compensated Interpolated Frame," Journal of the Korea Contents Association, Vol. 3, No. 12, pp. 1-8, 2012(3).   과학기술학회마을   DOI   ScienceOn
11 E. Peixoto, R. L. Queiroz, and D. Mukherjee, "On Side Information Generation for Wyner-Ziv Video Coding," Proc. of Simposio Brasileiro de Tel., Rio de Janeiro, Brazil, 2008(9).
12 S. H. Lee, O. J. Kwon, and R. H. Park, "Weighted-Adaptive Motion-Compensated Frame Rate Up-Conversion," IEEE Tr. on Consumer Electronics, Vol. 49, No. 3, pp. 485-492, 2003(8).   DOI   ScienceOn