Open Access Open Access  Restricted Access Subscription or Fee Access

A Subpel Motion Vector Estimation for Embedded Video Encoder


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/irecos.v10i2.5404

Abstract


In this work which falls within the overall context of video compression, we are concerned with the elimination of temporal redundancy by motion prediction. The motion vector is the main element of this technique and the precision of estimation of this vector improves the predicted image quality. However, increasing the motion vector precision requires a higher resolution of reference frame. In this paper, we propose a new technique of motion estimation with interpolation by combining the six tap filter and the bilinear interpolation. The proposed technique gives good results compared with predicted images without interpolation.
Copyright © 2015 Praise Worthy Prize - All rights reserved.

Keywords


Motion Estimation; Motion Vector; Image Interpolation; Video Quality Assessment

Full Text:

PDF


References


V. Seferidis,M. Ghanbari, “Generalised block-matching motion estimation using quad-tree structured spatial decomposition”, IEEE Proceedings: Vision, Image and Signal Processing, Vol. 141, n° 6, p. 446-452, 1994
http://dx.doi.org/10.1049/ip-vis:19941423

Y. Noguchi, J. Furukawa,H. Kiya, Fast full search block matching algorithm for MPEG-4 video, IEEE International Conference on Image Processing, Vol. 1, n° p. 61-65. 1999
http://dx.doi.org/10.1109/icip.1999.821565

Draft ITU-T Recommendation and Final Draft International Standard of Join t Video Specification, JVT-G050 , Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG, May 2003.

W. Hassen and H. Amiri, “Block Matching Algorithms for Motion Estimation”, the 39th IEEE IECON Annual Conference of the IEEE Industrial Electronics Society. Vienna, Austria. 10-13 November 20137
http://dx.doi.org/10.1541/ieejias.134.nl3_4

Hassen, W., Amiri, H., Block matching algorithms study according to the video dynamic, (2013) International Review on Computers and Software (IRECOS), 8 (3), pp. 804-809.

J. M. Shapiro, “Embedded Image Coding Using Zerotrees of Wavelet Coefficients”, IEEE trans. on Signal Processing, Vol.41, No.12, pp.3445-3462, 1993.
http://dx.doi.org/10.1109/78.258085

JVT: ISO/IEC and ITU-T, “Committee Draft of Joint Video Specification (ITU-T Rec. H.264 / ISO/IEC 14496-10 AVC)” , Doc. JVT-C167, Fairfax, Virginia, USA, May 2002

C.-H. Hsieh, T.-P. Lin, “VLSI Architecture for Block-Matching Motion Estimation Algorithm”, IEEE Transactions on Circuits and Systems For Video Technology, Vol.2, No.2, pp.169-175. 1992.
http://dx.doi.org/10.1109/76.143416

A. Tourapis and P. Topiwala, “Subpel ME for enhanced predictive zonal search,” MPEG/JVT Meeting, Doc. JVT-Q079, 2005.

W. Hassen, J. Mbainaibeye, H. Amiri and C. Olivier, ‘’A new approach to video coding based on discrete wavelet coding and Motion compensation”, the International Journal of Research and Reviews in Applied Sciences. Vol 11, Issue 2, pp.176-189. May 2012

Z. Wang, L. Lu, and A. C. Bovik, “Video Quality Assessment Based on Structural Distortion Measurement”, IEEE Signal Processing: Image Communication, Vol 19, No 2. pp. 121-132, February 2004.
http://dx.doi.org/10.1016/s0923-5965(03)00076-6


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize