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Barrett, W.A.[William A.],
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GMIP(60), No. 5, September 1998, pp. 349-384.
PDF Version.
BibRef
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Earlier:
Toboggan-Based Intelligent Scissors with a Four Parameter Edge Model,
CVPR99(II: 452-458).
IEEE Abstract.
IEEE DOI Link Extend the above. First find general boundaries -- i.e. using the gradient find
the regions that are bounded by high
gradients. Then interactive boundaries are easy.
Interactive system.
For implementation see:
See also Intellegent Scissors: Interactive tool for image segmentation.
BibRef
Mortensen, E.N.[Eric N.],
Simultaneous Multi-Frame Subpixel Boundary Definition using
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Ph.D.Thesis, Department of Computer Science, Brigham Young University, Provo, UT, December 2000.
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0110
Create graph from watershed lines, determine whether the graph arc
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User-Steered Image Segmentation Using Live Markers,
CAIP11(I: 211-218).
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1109
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Spina, T.V.[Thiago Vallin],
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de Miranda, P.A.V.,
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Improving User Control with Minimum Involvement in User-Guided
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Falcao, A.X.[Alexandre X.],
Udupa, J.K.[Jayaram K.],
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Rubberband: an improved graph search algorithm for interactive object
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ICIP02(I: 101-104).
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Protiere, A.[Alexis],
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Shor, R.[Ronen],
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Interactive tool for image segmentation,
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HTML Version.
Code, Segmentation. Implementation of
See also Interactive Segmentation with Intelligent Scissors.
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Shotton, J.D.J.[Jamie D.J.],
Winn, J.[John],
Rother, C.[Carsten],
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TextonBoost for Image Understanding: Multi-Class Object Recognition and
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IJCV(81), No. 1, January 2009, pp. xx-yy.
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0901
BibRef
And:
TextonBoost: Joint Appearance, Shape and Context Modeling for
Multi-class Object Recognition and Segmentation,
ECCV06(I: 1-15).
Springer DOI Link
0608
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Benmansour, F.[Fethallah],
Cohen, L.D.[Laurent D.],
Fast Object Segmentation by Growing Minimal Paths from a Single Point
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JMIV(33), No. 2, February 2009, pp. xx-yy.
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Benmansour, F.[Fethallah],
Cohen, L.D.[Laurent D.],
Tubular Structure Segmentation Based on Minimal Path Method and
Anisotropic Enhancement,
IJCV(92), No. 2, April 2011, pp. 192-210.
WWW Version.
1103
BibRef
Benmansour, F.[Fethallah],
Cohen, L.D.[Laurent D.],
From a Single Point to a Surface Patch by Growing Minimal Paths,
SSVM09(648-659).
Springer DOI Link
0906
BibRef
Benmansour, F.[Fethallah],
Bonneau, S.[Stephane],
Cohen, L.D.[Laurent D.],
Finding a Closed Boundary by Growing Minimal Paths from a Single Point
on 2D or 3D Images,
MMBIA07(1-8).
IEEE DOI Link
0710
BibRef
Rouchdy, Y.[Youssef],
Cohen, L.D.[Laurent D.],
Image segmentation by geodesic voting. Application to the extraction of
tree structures from confocal microscope images,
ICPR08(1-5).
IEEE DOI Link
0812
BibRef
Wu, W.,
Yang, J.,
Semi-Automatically Labeling Objects in Images,
IP(18), No. 6, June 2009, pp. 1340-1349.
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SmartLabel,
BibRef
McGuinness, K.[Kevin],
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A comparative evaluation of interactive segmentation algorithms,
PR(43), No. 2, February 2010, pp. 434-444,.
Elsevier DOI Link
WWW Version.
0910
Evaluation, Segmentation. Image segmentation; Interactive segmentation; Objective evaluation;
Subjective evaluation; Fuzzy sets; User experiments
BibRef
McGuinness, K.[Kevin],
O'Connor, N.E.[Noel E.],
Toward automated evaluation of interactive segmentation,
CVIU(115), No. 6, June 2011, pp. 868-884.
Elsevier DOI Link
WWW Version.
1104
Image segmentation; Interactive segmentation; Evaluation; Simulation;
Automation; User experiments
BibRef
Ning, J.F.[Ji-Feng],
Zhang, L.[Lei],
Zhang, D.[David],
Wu, C.[Chengke],
Interactive image segmentation by maximal similarity based region
merging,
PR(43), No. 2, February 2010, pp. 445-456,.
Elsevier DOI Link
WWW Version.
0910
Image segmentation; Region merging; Maximal similarity; Mean shift
See also NGVF: An improved external force field for active contour model.
BibRef
Pauplin, O.[Olivier],
Caleb-Solly, P.[Praminda],
Smith, J.[Jim],
User-centric image segmentation using an interactive parameter
adaptation tool,
PR(43), No. 2, February 2010, pp. 519-529,.
Elsevier DOI Link
WWW Version.
0910
Interactive evolution; Texture-based segmentation; Evolutionary algorithm
BibRef
Ding, L.[Lei],
Yilmaz, A.[Alper],
Interactive image segmentation using probabilistic hypergraphs,
PR(43), No. 5, May 2010, pp. 1863-1873.
Elsevier DOI Link
WWW Version.
1003
Image segmentation; Interactive segmentation; Semi-supervised
learning; Hypergraphs
BibRef
Li, H.D.[Hong-Dong],
Shen, C.H.[Chun-Hua],
Interactive color image segmentation with linear programming,
MVA(21), No. 4, June 2010, pp. xx-yy.
Springer DOI Link
1006
BibRef
Tao, W.B.[Wen-Bing],
Chang, F.[Feng],
Liu, L.M.[Li-Man],
Jin, H.[Hai],
Wang, T.J.[Tian-Jiang],
Interactively multiphase image segmentation based on variational
formulation and graph cuts,
PR(43), No. 10, October 2010, pp. 3208-3218.
Elsevier DOI Link
WWW Version.
1007
Interactive image segmentation; Multiphase multiple piecewise
constant; Graph cuts optimization; Multilayer graph
BibRef
Liu, L.M.[Li-Man],
Tao, W.B.[Wen-Bing],
Image segmentation by iterative optimization of multiphase multiple
piecewise constant model and Four-Color relabeling,
PR(44), No. 12, December 2011, pp. 2819-2833.
Elsevier DOI Link
WWW Version.
1107
Unsupervised image segmentation; Multiphase optimization; Four-Color
relabeling; Iterative algorithm; Mean shift
BibRef
Yang, W.,
Cai, J.,
Zheng, J.,
Luo, J.,
User-Friendly Interactive Image Segmentation Through Unified
Combinatorial User Inputs,
IP(19), No. 9, September 2010, pp. 2470-2479.
IEEE DOI Link
1008
BibRef
Ng, M.K.[Michael K.],
Qiu, G.P.[Guo-Ping],
Yip, A.M.[Andy M.],
Numerical methods for interactive multiple-class image segmentation
problems,
IJIST(20), No. 3, September 2010, pp. 191-201.
WWW Version.
1008
image segmentation;
discrete maximum principle;
domain decomposition;
M-matrix;
condition numbers;
boundary conditions
BibRef
Mu, Y.,
Zhou, B.,
Yan, S.,
Information-Theoretic Analysis of Input Strokes in Visual Object Cutout,
MultMed(12), No. 8, 2010, pp. 843-852.
IEEE DOI Link
1011
Image editing. Interactive user segmentation.
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Okabe, M.[Makoto],
Myszkowski, K.[Karol],
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Contrast prescription for multiscale image editing,
VC(26), No. 6-8, June 2010, pp. 739-748.
WWW Version.
1101
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Content-aware copying and pasting in images,
VC(26), No. 6-8, June 2010, pp. 721-729.
WWW Version.
1101
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de Miranda, P.A.V.,
Falcao, A.X.,
Udupa, J.K.,
Synergistic arc-weight estimation for interactive image segmentation
using graphs,
CVIU(114), No. 1, January 2010, pp. 85-99.
Elsevier DOI Link
WWW Version.
1001
Image foresting transform; Graph-cut segmentation; Relative-fuzzy
connectedness; Watershed transform; Live-wire segmentation; Contour
tracking; Interactive segmentation; Graph-search algorithms;
[kappa]-Connected segmentation
See also Links Between Image Segmentation Based on Optimum-Path Forest and Minimum Cut in Graph.
BibRef
Miranda, P.A.V.[Paulo A. V.],
Falcao, A.X.[Alexandre X.],
Spina, T.V.[Thiago V.],
The riverbed approach for user-steered image segmentation,
ICIP11(3133-3136).
IEEE DOI Link
1201
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Bayesian object extraction from uncalibrated image pairs,
SP:IC(22), No. 10, November 2007, pp. 866-876.
WWW Version.
0711
Segmentation; MRF models; SIFT; Homography
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Lee, S.H.[Sang Hak],
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Image segmentation algorithms based on the machine learning of features,
PRL(31), No. 14, 15 October 2010, pp. 2325-2336.
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WWW Version.
1003
BibRef
And:
A video object segmentation algorithm based on the feature learning and
shape tracking,
ICIP10(4673-4676).
IEEE DOI Link
1009
BibRef
Earlier:
An unsupervised image segmentation algorithm based on the machine
learning of appropriate features,
ICIP09(4037-4040).
IEEE DOI Link
0911
Image segmentation; Interactive image segmentation; Unsupervised image
segmentation; AdaBoost; Image features
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Koo, H.I.[Hyung Il],
Cho, N.I.[Nam Ik],
Boosting image segmentation,
ICIP08(3192-3195).
IEEE DOI Link
0810
BibRef
Koo, H.I.[Hyung Il],
Lee, S.H.[Sang Hwa],
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Kim, S.K.[Seong Keun],
Lee, D.H.[Dong Hahk],
Lee, S.H.[Sung-Hoon],
MAP-Based Object Extraction from Uncalibrated Image Pair,
ICIP06(2425-2428).
IEEE DOI Link
0610
BibRef
Cong, L.[Lin],
Tong, R.F.[Ruo-Feng],
Dong, J.X.[Jin-Xiang],
Selective image abstraction,
VC(27), No. 3, March 2011, pp. 187-198.
WWW Version.
1103
Selective stylized versions. The user specifies areas to keep the
same, the rest is simplified.
BibRef
Batra, D.[Dhruv],
Kowdle, A.[Adarsh],
Parikh, D.[Devi],
Luo, J.B.[Jie-Bo],
Chen, T.H.[Tsu-Han],
Interactively Co-segmentating Topically Related Images with Intelligent
Scribble Guidance,
IJCV(93), No. 3, July 2011, pp. 273-292.
WWW Version.
1104
BibRef
Earlier:
iCoseg: Interactive co-segmentation with intelligent scribble guidance,
CVPR10(3169-3176).
IEEE DOI Link
1006
BibRef
Kowdle, A.[Adarsh],
Chang, Y.J.[Yao-Jen],
Batra, D.[Dhruv],
Chen, T.H.[Tsu-Han],
Scribble based interactive 3D reconstruction via scene co-segmentation,
ICIP11(2577-2580).
IEEE DOI Link
1201
BibRef
Batra, D.[Dhruv],
Kowdle, A.[Adarsh],
Parikh, D.[Devi],
Luo, J.B.[Jie-Bo],
Chen, T.H.[Tsu-Han],
Interactive Co-segmentation of Objects in Image Collections,
SpringerNew-York, 2011.
ISBN: 978-1-4614-1914-3
WWW Version.
To purchase this book look here
1111
BibRef
Bergman, R.,
Nachlieli, H.,
Perceptual Segmentation:
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IP(20), No. 6, June 2011, pp. 1668-1681.
IEEE DOI Link
1106
Tag major regions, sky, skin, foliage, to use in image editing.
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Passat, N.[Nicolas],
Naegel, B.[Benoit],
Rousseau, F.[Francois],
Koob, M.[Meriam],
Dietemann, J.L.[Jean-Louis],
Interactive segmentation based on component-trees,
PR(44), No. 10-11, October-November 2011, pp. 2539-2554.
Elsevier DOI Link
WWW Version.
1101
Mathematical morphology; Component-tree; Grey-level images;
Interactive segmentation
BibRef
Zhong, F.[Fan],
Qin, X.Y.[Xue-Ying],
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WWW Version.
1107
Interactive segmentation.
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Pan, Y.S.[Yong-Sheng],
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WWW Version.
1108
Image segmentation; Probabilistic framework; Markov chain; GPU
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Noma, A.[Alexandre],
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1111
Interactive image segmentation; Matching attributed relational graphs;
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Consularo, L.A.[Luis Augusto],
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Structural Image Segmentation with Interactive Model Generation,
ICIP07(VI: 45-48).
IEEE DOI Link
0709
Segmentation by oversegmentation and user sketch.
BibRef
Tasli, H.E.[H. Emrah],
Alatan, A.A.[A. Aydin],
Interactive object segmentation for mono and stereo applications:
Geodesic prior induced graph cut energy minimization,
HICV11(1256-1263).
IEEE DOI Link
1201
BibRef
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Liu, Z.[Zhi],
Xue, Y.Z.[Yin-Zhu],
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Interactive object segmentation using iterative adjustable graph cut,
VCIP11(1-4).
IEEE DOI Link
1201
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Nickisch, H.[Hannes],
Rother, C.[Carsten],
Kohli, P.[Pushmeet],
Rhemann, C.[Christoph],
Learning an interactive segmentation system,
ICCVGIP10(274-281).
WWW Version.
1111
BibRef
Garg, S.[Supriya],
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Magic Marker: A Color Analytics Interface for Image Annotation,
ISVC11(I: 629-640).
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1109
BibRef
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Töppe, E.[Eno],
Cremers, D.[Daniel],
Space-Varying Color Distributions for Interactive Multiregion Segmentation:
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Springer DOI Link
1107
BibRef
Delong, A.[Andrew],
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Interactive Segmentation with Super-Labels,
EMMCVPR11(147-162).
Springer DOI Link
1107
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Artan, Y.[Yusuf],
Interactive Image Segmentation Using Machine Learning Techniques,
CRV11(264-269).
IEEE DOI Link
1105
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Interactive Segmentation of 3D Images Using a Region Adjacency Graph
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ICIAR11(I: 354-364).
Springer DOI Link
1106
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Top, A.[Andrew],
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Spotlight: Automated Confidence-Based User Guidance for Increasing
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Springer DOI Link
1009
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Interactive Multi-label Segmentation,
ACCV10(I: 397-410).
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1011
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Normalized Joint Mutual Information Measure for Image Segmentation
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Springer DOI Link
1109
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Luo, S.W.[Si-Wei],
A benchmark for interactive image segmentation algorithms,
POV11(33-38).
IEEE DOI Link
1101
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Herve, N.[Nicolas],
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Improving histology images segmentation through spatial constraints and
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ICIP10(3633-3636).
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1009
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Zhu, Y.X.[Ying-Xuan],
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Interactive segmentation of medical images using belief propagation
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ICIP10(4113-4116).
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1009
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Jagadeesh, V.[Vignesh],
Manjunath, B S,
Interactive graph cut segmentation of touching neuronal structures from
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ICIP10(3625-3628).
IEEE DOI Link
1009
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Guo, G.[Ge],
Liu, L.Q.[Luo-Qi],
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Gao, W.[Wen],
An interactive method for curve extraction,
ICIP10(1905-1908).
IEEE DOI Link
1009
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Liu, D.D.[Ding-Ding],
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Robust interactive image segmentation with automatic boundary
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ICIP10(225-228).
IEEE DOI Link
1009
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Grinias, I.[Ilias],
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Tziritas, G.[Georgios],
Flooding and MRF-based Algorithms for Interactive Segmentation,
ICPR10(3943-3946).
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1008
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Kirmizigül, D.[Denis],
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Incremental Learning in the Energy Minimisation Framework for
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DAGM10(323-332).
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1009
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Ding, L.[Lei],
Yilmaz, A.[Alper],
Enhancing Interactive Image Segmentation with Automatic Label Set
Augmentation,
ECCV10(VI: 575-588).
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1009
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Budvytis, I.[Ignas],
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Semi-supervised video segmentation using tree structured graphical
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CVPR11(2257-2264).
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1106
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Earlier:
Label propagation in complex video sequences using semi-supervised
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BMVC10(xx-yy).
HTML Version.
1009
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Badrinarayanan, V.[Vijay],
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IEEE DOI Link
1006
propogate the small set of hand labeled pixels.
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Kim, T.K.[Tae-Kyun],
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Price, B.L.[Brian L.],
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ICCV11(1148-1155).
IEEE DOI Link
1201
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Price, B.L.[Brian L.],
Morse, B.S.[Bryan S.],
Cohen, S.[Scott],
Geodesic graph cut for interactive image segmentation,
CVPR10(3161-3168).
IEEE DOI Link
1006
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And:
Color Adjacency Modeling for Improved Image and Video Segmentation,
ICPR10(2390-2394).
IEEE DOI Link
1008
BibRef
Earlier:
LIVEcut: Learning-based Interactive Video Segmentation by Evaluation of
Multiple Propagated Cues,
ICCV09(779-786).
IEEE DOI Link
0909
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Zhang, J.Y.[Ju-Yong],
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Cai, J.F.[Jian-Fei],
A diffusion approach to seeded image segmentation,
CVPR10(2125-2132).
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1006
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Gulshan, V.[Varun],
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Kim, T.H.[Tae Hoon],
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A Unified Probabilistic Approach to Feature Matching and Object
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ICPR10(464-467).
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1008
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Kim, T.H.[Tae Hoon],
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Nonparametric higher-order learning for interactive segmentation,
CVPR10(3201-3208).
IEEE DOI Link
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McCary, B.C.[Brady C.],
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Probabilistic interactive segmentation using multiphase level sets,
Southwest10(141-144).
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1005
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Gururajan, A.[Arunkumar],
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Interactive texture segmentation via IT-SNAPS,
Southwest10(129-132).
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Mory, B.[Benoit],
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Non-Euclidean image-adaptive Radial Basis Functions for 3D interactive
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ICCV09(787-794).
IEEE DOI Link
0909
See also Variational Segmentation using Fuzzy Region Competition and Local Non-Parametric Probability Density Functions.
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Windheuser, T.[Thomas],
Schoenemann, T.[Thomas],
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Beyond connecting the dots: A polynomial-time algorithm for
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IEEE DOI Link
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Interactive tools for segmentation.
Like Live-Wire (
See also User-Steered Image Segmentation Paradigms: Live Wire and Live Lane. )
and Intelligent Scissors (
See also Interactive Segmentation with Intelligent Scissors. ).
Use both discrete and continuous approaches.
Energy functions with user control.
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Snakes, Global Fits, Fitting Specific Models .