Abstract
In this paper, the energy-scalable motion estimation is proposed for low-power mobile multimedia applications, where the quality of encoded image sequences is scalable with power consumption. In the multimedia applications, there are usually several alternative algorithms with different performance and power. Considering the trade-off between performance and power, the proposed algorithm adaptively determines the optimal alternative to achieve optimal performance under a given power constraint. Compared with the conventional algorithms, the proposed algorithm reduces the power reduction to 1/31.0 1/11.0 without performance degradation.
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© 2003 Springer-Verlag Berlin Heidelberg
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Lee, S. (2003). Energy-Scalable Motion Estimation for Low-Power Multimedia Applications. In: Ventre, G., Canonico, R. (eds) Interactive Multimedia on Next Generation Networks. MIPS 2003. Lecture Notes in Computer Science, vol 2899. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-40012-7_33
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DOI: https://doi.org/10.1007/978-3-540-40012-7_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20534-0
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