Motion vector memory reduction scheme for scalable motion estimation

Jinha Choi, Jaeseok Kim

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Article number090502
JournalOptical Engineering
Issue number9
Publication statusPublished - 2009

Bibliographical note

Funding Information:
This research was supported by the Ministry of Knowledge Economy (MKE), Korea, under the ITRC support program supervised by the IITA and “System IC 2010” project of the MKE, Korea.

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • General Engineering


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