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Novel Motion Estimation Technique Based Error-Resilient Video Coding  

Hwang, Min-Cheol (Dept. of Electronic Engineering, Korea University)
Kim, Jun-Hyung (Dept. of Electronic Engineering, Korea University)
Ko, Sung-Jea (Dept. of Electronic Engineering, Korea University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.46, no.4, 2009 , pp. 108-115 More about this Journal
Abstract
In this paper, we propose a novel true-motion estimation technique supporting efficient frame error concealment for error-resilient video coding. In general, it is important to accurately obtain the true-motion of objects in video sequences for effectively recovering the corrupted frame due to transmission errors. However, the conventional motion estimation (ME) technique, which minimizes a sum of absolute different (SAD) between pixels of the current block and the motion-compensated block, does not always reflect the true-movement of objects. To solve this problem, we introduce a new metric called an absolute difference of motion vectors (ADMV) which is the distance between motion vectors of the current block and its motion-compensated block. The proposed ME method can prevent unreliable motion vectors by minimizing the weighted combination of SAD and ADMV. In addition, the proposed ME method can significantly improve the performance of error concealment at the decoder since error concealment using the ADMV can effectively recover the missing motion vector without any information of the lost frame. Experimental results show that the proposed method provides similar coding efficiency to the conventional ME method and outperforms the existing error-resilient method.
Keywords
Motion estimation; absolute difference of motion vectors (ADMV); error concealment; error-resilient video coding;
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