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Dynamic initial search pattern defined on Cartesian product of neighboring motion vectors for fast block-based motion estimation

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Abstract

Block-based motion estimation is widely used in video compression for reducing the temporal data redundancy. However, it is still a main problem to effectively reduce the computational complexity of motion estimation. The median predictor is usually used for initial search center prediction, however it is not always accurate enough, especially for fast motion sequences. In this paper, a novel dynamic initial search pattern algorithm for fast block-based motion estimation is proposed. Based on the observation that the components of the current motion vector are very similar to the corresponding components of its neighboring motion vectors, Cartesian product of neighboring motion vectors is introduced to generate the proposed dynamic initial search pattern (DISP). And then the cross search pattern is employed to search for the best matching block. The number of search points of the proposed DISP is adaptive to the neighboring correlation of the current block. In fact, the proposed DISP can be considered as a generalization of median prediction scheme and it performs better in capturing the best matching block than median prediction. Experiment results show that the proposed DISP method with small cross search pattern can save about 1.71 search points on average compared with adaptive rood pattern search (ARPS) algorithm and can achieve the similar PSNR to full search (FS) algorithm by combining large cross search pattern.

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Acknowledgments

This work is supported in part by the Open Project Program of the State Key Lab of Novel Software Technology (Grant No. KFKT2016B14), Nanjing University, the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), the Key Science and Technology Program of Shaanxi Province (Grant No. 2016GY-097) and the Industrial Program of Zhejiang Province (Grant No. 2016C31G4180003).

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, People’s Republic of China

    Zhibin Pan, Weiping Ku & Yidi Wang

  2. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210093, People’s Republic of China

    Zhibin Pan

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  1. Zhibin Pan
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  2. Weiping Ku
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  3. Yidi Wang
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Correspondence to Zhibin Pan.

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Pan, Z., Ku, W. & Wang, Y. Dynamic initial search pattern defined on Cartesian product of neighboring motion vectors for fast block-based motion estimation. Multimed Tools Appl 77, 14803–14816 (2018). https://doi.org/10.1007/s11042-017-5063-5

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  • DOI: https://doi.org/10.1007/s11042-017-5063-5

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