Content-based motion estimation with extended temporal-spatial analysis

Shen Li*, Yong Jiang, Takeshi Ikenaga, Satoshi Goto

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


In this paper, a content-based motion estimation algorithm that extends the utilization of spatial correlation into the reference frame is proposed. This algorithm incorporates Adaptive Search Window (ASW) and Three Step Search (TSS), and realizes dynamic search strategy optimization according to local motion complexity of video contents with a new motion type prediction technique that examines local motion vector distribution of two consecutive frames. Simulation results show that the proposed method can constantly reduce the dynamic computational cost to as low as 3%∼4% of that of Full Search (FS), with the visual quality in terms of PSNR remaining very close to that of FS for various test video sequences.

Original languageEnglish
Pages (from-to)II461-II464
JournalMidwest Symposium on Circuits and Systems
Publication statusPublished - 2004 Dec 1
EventThe 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings - Hiroshima, Japan
Duration: 2004 Jul 252004 Jul 28

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering


Dive into the research topics of 'Content-based motion estimation with extended temporal-spatial analysis'. Together they form a unique fingerprint.

Cite this