Abstract
This paper proposed a high performance video coding system in redundant wavelet domain utilizing a multihypothesis variable size block motion compensation technique. The redundant wavelet transform (RDWT) provides several advantages over the traditional wavelet transform (DWT). The RDWT retains all the phase information of wavelet transform and provides multiple prediction possibilities in ME/MC in transform domain. The paper presents a new adaptive partitioning scheme and decision criteria that utilizes more effectively the motion content of a frame in terms of the size and shape of the blocks. The experimental results show that our proposed MH-VSBMC has a better performance and uses less number of partition blocks. In addition, the approach using selective strategy for subpixel accuracy achieves similar PSNR and other quality values while using less computation steps.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
ITU-T, Advanced Video Coding for Generic Audio-visual Services, ITU-T Recommendation H.264, May 2003
ISO/IEC 14496-2, Information Technology-Coding of Audio-Visual Objects-Part 2: Visual, MPEG-4 Coding Standard (1999)
Cui, S., Wang, Y.: Redundant wavelet transform in video signal processing. In: International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV 2006) (2006)
Lee, J.: Optimal quadtree for variable block size motion estimation. ICIP 1996 (1996)
Kim, J.W., Lee, S.U.: Rate-distortion optimization between the hierarchical variable block size motion estimation and motion sequence coding. SPIE 2501, 822–833 (1995)
Zhang, J., Omair, M., Swamy, M.: A new variable size block motion compensation. In: Proceedings of the IEEE (1997)
Sullivan, G.J.: Multi-hypothesis motion compensation for low bit-rate video coding. In: Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, Minneapolis, MN, April 1993, vol. 5, pp. 437–440 (1993)
Cui, S., Wang, Y., Fowler, J.E.: Multihypothesis motion compensation in the redundant wavelet domain. In: Proceedings of the International Conference on Image Processing, Barcelona, Spain, September 2003, vol. 2, pp. 53–56 (2003)
Girod, B.: Motion-compensating prediction with fractional-pel accuracy. IEEE Transactions on Communications 41(4), 604–612 (1993)
Orchard, M.T., Sullivan, G.J.: Overlapped block motion compensation: An estimation-theoretic approach. IEEE Transactions on Image Processing 3(5), 693–699 (1994)
Fowler, J.E.: Analysis of redundant wavelet multihypothesis for motion compensation. In: Proceedings of the IEEE Data Compression Conference, March 2006, pp. 352–361 (2006)
Park, H., Kim, H.: Motion estimation using lowband-shift method for wavelet-based moving picture coding. IEEE Transactions on Image Processing 9(4), 577–587 (2000)
Said, A., Pearlman, W.A.: A new, fast, and efficient image codec based on set partitioning in hierarchical trees. IEEE Transactions on Circuits and Systems for Video Technology 6(3), 243–250 (1996)
Wang, Z., Bovik, A.C., Sheikh, H.R., Simon-celli, E.P.: Image quality assessment: From error visibility to structural similarity. IEEE Transactions on Image Processing 13, 600–612 (2004)
Jung, J., et al.: Fast subpel motion estimation using selective motion vector accuracy of inter-mode decision for H.264/AVC. In: IEEE International Symposium on Industrial Electronics (ISlE 2009), Seoul Olympic Park Hotel, Seoul, Korea, July 5–8, 2009
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Suliman, A., Li, R. (2016). Video Compression Using Variable Block Size Motion Compensation with Selective Subpixel Accuracy in Redundant Wavelet Transform. In: Latifi, S. (eds) Information Technology: New Generations. Advances in Intelligent Systems and Computing, vol 448. Springer, Cham. https://doi.org/10.1007/978-3-319-32467-8_88
Download citation
DOI: https://doi.org/10.1007/978-3-319-32467-8_88
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-32466-1
Online ISBN: 978-3-319-32467-8
eBook Packages: EngineeringEngineering (R0)