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A novel fast search motion estimation boosted by multilayer concept

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Abstract

Most of the fast search motion estimation algorithms reduce the computational cost of motion estimation (ME) greatly by checking only a few search points inside the search area by using full distortion measure. This paper proposes multi-layer motion estimation (MME) which employs partial distortion as its distortion measure to reduce the number of computations involved in each search point instead of reducing the number of search points. The MME, first, constructs the layers from the reference frame so as to facilitate the calculation of partial distortion measures on the layers. Later, it searches motion vectors by computing the partial distortion measures on the layers. A layer is an image which is derived from the reference frame such that the summation of a block of pixels in the reference frame determines the point of a layer. It has been noticed on different video sequences that many motion vectors on the layers are the same as those searched on the reference frame. Experimental results on a wide variety of video sequences show that the proposed algorithm outperforms the other popular conventional fast search motion estimation algorithms computationally while maintaining the motion prediction quality very close to the full-search algorithm.

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Authors and Affiliations

  1. Electronics and Communication, Malla Reddy College of Engineering, JNTUH, Hyderabad, Andhra Pradesh, India

    A. V. Paramkusam & V. S. K. Reddy

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  1. A. V. Paramkusam
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  2. V. S. K. Reddy
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Correspondence to A. V. Paramkusam.

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Paramkusam, A.V., Reddy, V.S.K. A novel fast search motion estimation boosted by multilayer concept. Multimed Tools Appl 75, 2169–2188 (2016). https://doi.org/10.1007/s11042-014-2400-9

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  • DOI: https://doi.org/10.1007/s11042-014-2400-9

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