Power-Aware Motion Estimation for Low-Power Multimedia Communication 


Vol. 29,  No. 1, pp. 149-156, Jan.  2004


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  Abstract

In this paper, novel power-aware motion estimation is proposed for low-power multimedia communication. In the video compression, motion estimation dominates the total power consumption, where better performance usually requires more power consumption. Among several motion estimation algorithms with different performance and power, the proposed motion estimation adaptively selects the optimal algorithm during run-time, considering the trade-off between performance and power. The proposed motion estimation can be easily applied to various motion estimation algorithms with negligible computation or hardware overhead. According to simulation results, the proposed motion estimation reduces the power consumption to 1/15.7~1/5.6 without performance degradation, when compared to the conventional algorithms.

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  Cite this article

[IEEE Style]

S. Lee, "Power-Aware Motion Estimation for Low-Power Multimedia Communication," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 1, pp. 149-156, 2004. DOI: .

[ACM Style]

Seong-Soo Lee. 2004. Power-Aware Motion Estimation for Low-Power Multimedia Communication. The Journal of Korean Institute of Communications and Information Sciences, 29, 1, (2004), 149-156. DOI: .

[KICS Style]

Seong-Soo Lee, "Power-Aware Motion Estimation for Low-Power Multimedia Communication," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 1, pp. 149-156, 1. 2004.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880