The Research Based on Fast Motion Estimation of H.264

Abstract:

A optimization algorithm is put forward based on the brightness and frequency domain characteristics of macro block, including the algorithm of model segmentation and the prediction algorithm of starting motion vectors(MV). The basic idea of the mode segmentation is that to the unit of 16×16 block, discrete wavelet transform to frames, the after low frequency coefficients as the research object, define the coefficients sum ∑. If ∑ is greater or equal to threshold, the corresponding areas will be divided into texture areas, or smooth areas. The current block is compared with the corresponding block in reference frames. If the result is equal, the current block will be marked to background block, or sport block, and the corresponding segmentation mode is selected at the same time. The basic idea of prediction starting motion vectors algorithm is that base on the marked sport blocks, the starting MV of current block is the median value of MV to adjacent sport blocks in initial MV prediction. The experimental results show that the efficiency of algorithm in this paper has been improved.

• Periodical: Advanced Materials Research (Volumes 562-564)
• Pages: 2153-2156
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.562-564.2153
• Online since: August 2012
• Authors: Sheng Bing Che, Han Gao
• Keywords: H.264, Mode Segmentation, Motion Estimation, Prediction of Starting MV

References

[1] Grecos Christos, Yang Mingyuan. Fast Mode Prediction for the Baseline and Main Profiles in H. 264 Video Coding Standard[J]. IEEE Transactions on Multimedia, 8(6): 1125-1134 (2006).

DOI: 10.1109/tmm.2006.884631

[2] Kim Jong-Ho, Kim Byung-Gyu: Fast block mode decision algorithm in H. 264/AVC video coding[J]. Journal of Visual Communication and Image Representation, 3(19): 175-183(2008).

DOI: 10.1016/j.jvcir.2007.09.001

[3] Hongzi Zhu, Minglu Li, Yanmin Zhu: Online Real-Time Vehicle Tracking[J]. IEEE Transactions on Parallel and Distributed Systems, 20(5): 740-752(2009).

DOI: 10.1109/tpds.2008.147

[4] Tao, Z., et al: Fast global motion estimation and moving object extraction algorithm in lmage sequences[J]. Journal of Southeast University (English Edition), 24(2): 192-196(2008).

[5] SUN Li-fan, PU Jie-xin: Fast inter-frame mode selection algorithm based on H. 264 standard[J]. Computer Engineering, 36(2): 220-222(2010).