A Study on Implementation of the Fast Motion Estimation 


Vol. 27,  No. 1, pp. 69-77, Jan.  2002


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  Abstract

Since digital signal processing for motion pictures requires huge amount of data computation to store, manipulate and transmit, more effective data compression is necessary. Therefore, the ITU-T recommended H.26x as data compression standards for digital motion pictures. The data compression method that eliminates time redundancies by motion estimation using relationship between picture frames has been widely used. Most video conding systems employ block matchig algorithm for the motion estimation and compensation, and the algorithm is based on the minimun value of cost functions. Therefore, fast search algorithm rather than full search algorithm is more effective in real time low data rates encodings such as H.26x.
In this paper, motion estimation employing the Nearest-Neighbors algorithm is designed to reduce search time using FPGA, coded in VHDL, and simulated and verified using Xilink Foundation.

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  Cite this article

[IEEE Style]

J. Kim, S. Park, H. Jin, N. Park, "A Study on Implementation of the Fast Motion Estimation," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 1, pp. 69-77, 2002. DOI: .

[ACM Style]

Jin-yean Kim, Sang-bong Park, Hyun-jun Jin, and Nho-kyung Park. 2002. A Study on Implementation of the Fast Motion Estimation. The Journal of Korean Institute of Communications and Information Sciences, 27, 1, (2002), 69-77. DOI: .

[KICS Style]

Jin-yean Kim, Sang-bong Park, Hyun-jun Jin, Nho-kyung Park, "A Study on Implementation of the Fast Motion Estimation," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 1, pp. 69-77, 1. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880