AUTOMATIC SEGMENTATION OF INTEREST REGIONS IN LOW DEPTH OF FIELD IMAGES USING ENSEMBLE CLUSTERING AND GRAPH CUT OPTIMIZATION APPROACHES: 2012 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA

G. Rafiee, S. S. Dlay, W. L. Woo

Research output: Contribution to conferencePaper

4 Citations (Scopus)
Original languageEnglish
Pages161-164
Number of pages4
DOIs
Publication statusPublished - 2012

Keywords

  • constraint handling
  • graph theory
  • image segmentation
  • image texture
  • multimedia computing
  • optimisation
  • pattern clustering
  • automatic interest region segmentation
  • field images
  • ensemble clustering
  • graph cut optimization approaches
  • automatic images segmentation
  • depth of field
  • DOF
  • content-based multimedia applications
  • cluster ensemble algorithm
  • hard constraint
  • max-flow method
  • busy-texture
  • Image segmentation
  • Clustering algorithms
  • Partitioning algorithms
  • Pattern analysis
  • Image color analysis
  • Multimedia communication
  • cluster ensemble
  • unsupervised segmentation
  • graph cut optimization
  • low depth-of-field image

Cite this

@conference{cf948afd9d1440bc8271672052a2d203,
title = "AUTOMATIC SEGMENTATION OF INTEREST REGIONS IN LOW DEPTH OF FIELD IMAGES USING ENSEMBLE CLUSTERING AND GRAPH CUT OPTIMIZATION APPROACHES: 2012 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA",
keywords = "constraint handling, graph theory, image segmentation, image texture, multimedia computing, optimisation, pattern clustering, automatic interest region segmentation, field images, ensemble clustering, graph cut optimization approaches, automatic images segmentation, depth of field, DOF, content-based multimedia applications, cluster ensemble algorithm, hard constraint, max-flow method, busy-texture, Image segmentation, Clustering algorithms, Partitioning algorithms, Pattern analysis, Image color analysis, Multimedia communication, cluster ensemble, unsupervised segmentation, graph cut optimization, low depth-of-field image",
author = "G. Rafiee and Dlay, {S. S.} and Woo, {W. L.}",
year = "2012",
doi = "10.1109/ISM.2012.39",
language = "English",
pages = "161--164",

}

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T1 - AUTOMATIC SEGMENTATION OF INTEREST REGIONS IN LOW DEPTH OF FIELD IMAGES USING ENSEMBLE CLUSTERING AND GRAPH CUT OPTIMIZATION APPROACHES

T2 - 2012 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA

AU - Rafiee, G.

AU - Dlay, S. S.

AU - Woo, W. L.

PY - 2012

Y1 - 2012

KW - constraint handling

KW - graph theory

KW - image segmentation

KW - image texture

KW - multimedia computing

KW - optimisation

KW - pattern clustering

KW - automatic interest region segmentation

KW - field images

KW - ensemble clustering

KW - graph cut optimization approaches

KW - automatic images segmentation

KW - depth of field

KW - DOF

KW - content-based multimedia applications

KW - cluster ensemble algorithm

KW - hard constraint

KW - max-flow method

KW - busy-texture

KW - Image segmentation

KW - Clustering algorithms

KW - Partitioning algorithms

KW - Pattern analysis

KW - Image color analysis

KW - Multimedia communication

KW - cluster ensemble

KW - unsupervised segmentation

KW - graph cut optimization

KW - low depth-of-field image

U2 - 10.1109/ISM.2012.39

DO - 10.1109/ISM.2012.39

M3 - Paper

SP - 161

EP - 164

ER -