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A New Approach to Fast Multiple Reference Frame Motion Estimation for H.264

Shufang Zhang, Yanling Wang, Jinhua Kang, Hua Li

Open publisher page 7 citations

Abstract

In the novel video coding standard H.264/AVC, motion estimation is allowed to adopt multiple reference frame in order to improve the coding efficiency. However, the computational cost of multiple reference frame motion estimation is very high. In this paper, we proposed a fast multiple reference frame motion estimation algorithm which takes into account the correlation and center-biased characteristic of motion vector in multiple reference frame adequately. The method makes a selection for multiple reference frame in advance, so it can improve the coding efficiency greatly. Experimental results show that the proposed method can reduce encoding time by 30.91% on average with less change of rate distortion performance.

About this research paper

What this paper is about

In the novel video coding standard H.264/AVC, motion estimation is allowed to adopt multiple reference frame in order to improve the coding efficiency. However, the computational cost of multiple reference frame motion estimation is very high. In this paper, we proposed a fast multiple reference frame motion estimation algorithm which takes into account the correlation and center-biased characteristic of motion vector in multiple reference frame adequately. The method makes a selection for multiple reference frame in advance, so it can improve the coding efficiency greatly. Experimental results show that the proposed method can reduce encoding time by 30.91% on average with less change of rate distortion performance.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In the novel video coding standard H.264/AVC, motion estimation is allowed to adopt multiple reference frame in order to improve the coding efficiency. However, the computational cost of multiple reference frame motion estimation is very high. In this paper, we proposed a fast multiple reference frame motion estimation algorithm which takes into account the correlation and center-biased characteristic of motion vector in multiple reference frame adequately. The method makes a selection for multiple reference frame in advance, so it can improve the coding efficiency greatly. Experimental results show that the proposed method can reduce encoding time by 30.91% on average with less change of rate distortion performance.

Key concepts: Reference frame, Motion vector, Inter frame, Computer science, Motion estimation, Coding (social sciences), Quarter-pixel motion, Motion compensation

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