Share Email Print
cover

Optical Engineering • Open Access

Motion vector memory reduction scheme for scalable motion estimation
Author(s): Jinha Choi; Jaeseok Kim

Paper 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.

Paper Details

Date Published: 1 September 2009
PDF: 3 pages
Opt. Eng. 48(9) 090502 doi: 10.1117/1.3212689
Published in: Optical Engineering Volume 48, Issue 9
Show Author Affiliations
Jinha Choi, Yonsei Univ. (Korea, Republic of)
Jaeseok Kim, Yonsei Univ. (Korea, Republic of)


© SPIE. Terms of Use
Back to Top