Content-based motion estimation with extended temporal-spatial analysis

Shen Li; Yong Jiang; Takeshi Ikenaga; Satoshi Goto

Content-based motion estimation with extended temporal-spatial analysis

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

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	II461-II464
Journal	Midwest Symposium on Circuits and Systems
Volume	2
Publication status	Published - 2004 Dec 1
Event	The 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings - Hiroshima, Japan Duration: 2004 Jul 25 → 2004 Jul 28

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

Cite this

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title = "Content-based motion estimation with extended temporal-spatial analysis",

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.",

author = "Shen Li and Yong Jiang and Takeshi Ikenaga and Satoshi Goto",

year = "2004",

month = dec,

day = "1",

language = "English",

volume = "2",

pages = "II461--II464",

journal = "Midwest Symposium on Circuits and Systems",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "The 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings ; Conference date: 25-07-2004 Through 28-07-2004",

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TY - JOUR

T1 - Content-based motion estimation with extended temporal-spatial analysis

AU - Li, Shen

AU - Jiang, Yong

AU - Ikenaga, Takeshi

AU - Goto, Satoshi

PY - 2004/12/1

Y1 - 2004/12/1

N2 - 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.

AB - 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.

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M3 - Conference article

AN - SCOPUS:11144260203

VL - 2

SP - II461-II464

JO - Midwest Symposium on Circuits and Systems

JF - Midwest Symposium on Circuits and Systems

SN - 1548-3746

T2 - The 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings

Y2 - 25 July 2004 through 28 July 2004

ER -

Content-based motion estimation with extended temporal-spatial analysis

Abstract

ASJC Scopus subject areas

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