Semiautomatic segmentation using spatio-temporal gradual region merging for MPEG-4

Young Ro Kim; Jae Hwan Kim; Jin Cheol Kim; Tae Hyun Kim; Sung Jea Ko

doi:10.1109/ICCE.2001.935246

Semiautomatic segmentation using spatio-temporal gradual region merging for MPEG-4

Young Ro Kim, Jae Hwan Kim, Jin Cheol Kim, Tae Hyun Kim, Sung Jea Ko

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

We propose a new semiautomatic segmentation method using spatio-temporal similarity. In the proposed scheme, segmentation is performed using gradual region merging and bi-directional spatio-temporal refinement. Simulation results show the efficiency of the proposed method in semantic object extraction.

Original language	English
Pages (from-to)	140-141
Number of pages	2
Journal	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
DOIs	https://doi.org/10.1109/ICCE.2001.935246
Publication status	Published - 2001

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

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10.1109/ICCE.2001.935246

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title = "Semiautomatic segmentation using spatio-temporal gradual region merging for MPEG-4",

abstract = "We propose a new semiautomatic segmentation method using spatio-temporal similarity. In the proposed scheme, segmentation is performed using gradual region merging and bi-directional spatio-temporal refinement. Simulation results show the efficiency of the proposed method in semantic object extraction.",

author = "Kim, {Young Ro} and Kim, {Jae Hwan} and Kim, {Jin Cheol} and Kim, {Tae Hyun} and Ko, {Sung Jea}",

year = "2001",

doi = "10.1109/ICCE.2001.935246",

language = "English",

pages = "140--141",

journal = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",

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

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AU - Kim, Young Ro

AU - Kim, Jae Hwan

AU - Kim, Jin Cheol

AU - Kim, Tae Hyun

AU - Ko, Sung Jea

PY - 2001

Y1 - 2001

N2 - We propose a new semiautomatic segmentation method using spatio-temporal similarity. In the proposed scheme, segmentation is performed using gradual region merging and bi-directional spatio-temporal refinement. Simulation results show the efficiency of the proposed method in semantic object extraction.

AB - We propose a new semiautomatic segmentation method using spatio-temporal similarity. In the proposed scheme, segmentation is performed using gradual region merging and bi-directional spatio-temporal refinement. Simulation results show the efficiency of the proposed method in semantic object extraction.

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U2 - 10.1109/ICCE.2001.935246

DO - 10.1109/ICCE.2001.935246

M3 - Article

AN - SCOPUS:0034842562

SN - 0747-668X

SP - 140

EP - 141

JO - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

JF - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

ER -

Semiautomatic segmentation using spatio-temporal gradual region merging for MPEG-4

Abstract

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