Motion vector memory reduction scheme for scalable motion estimation

Jinha Choi; Jaeseok Kim

doi:10.1117/1.3212689

1 September 2009 Motion vector memory reduction scheme for scalable motion estimation

Jinha Choi, Jaeseok Kim

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Optical Engineering, Vol. 48, Issue 9, 090502 (September 2009). https://doi.org/10.1117/1.3212689

Abstract

We propose a motion vector memory reduction scheme for the H.264 spatial scalable motion estimation. The spatial scalable prediction of H.264 scalable video coding requires a significant amount of motion vector bits from the previous layer motion prediction. This motion vector causes the Internal memory size to increase, which may result in increasing hardware cost and power consumption. To reduce the memory size of the motion vector, we propose a motion vector bit-compression scheme of the interlayer motion estimation. The proposed compression scheme uses the difference value of current motion vector and previous motion vector to get a probability for entropy coding. In addition, the proposed scheme modifies a variable length coding table of the H.264 system as a simple entropy coding table. The proposed scheme reduces the motion vector-storing bit by ~66.5% with less changes in hardware size.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Jinha Choi and Jaeseok Kim "Motion vector memory reduction scheme for scalable motion estimation," Optical Engineering 48(9), 090502 (1 September 2009). https://doi.org/10.1117/1.3212689

Published: 1 September 2009

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