Content-based motion estimation with extended temporal-spatial analysis

Shen Li, Yong Jiang, Takeshi Ikenaga, Satoshi Goto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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
Title of host publicationMidwest Symposium on Circuits and Systems
Volume2
Publication statusPublished - 2004
EventThe 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings - Hiroshima, Japan
Duration: 2004 Jul 252004 Jul 28

Other

OtherThe 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings
CountryJapan
CityHiroshima
Period04/7/2504/7/28

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ASJC Scopus subject areas

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

Cite this

Li, S., Jiang, Y., Ikenaga, T., & Goto, S. (2004). Content-based motion estimation with extended temporal-spatial analysis. In Midwest Symposium on Circuits and Systems (Vol. 2)