8.7.1.2.4 Interactive Region Segmentations, Snakes, User-Assisted Segmentation

Chapter Contents (Back)
Deformable Curves. Snakes. Active Contours. Segmentation. Interactive Segmentation. See also Interactive 3D Segmentations, Depth, Range, Stereo. See also Image Editing, Interactive Editing.

Mortensen, E.N.[Eric N.], Barrett, W.A.[William A.],
Interactive Segmentation with Intelligent Scissors,
GMIP(60), No. 5, September 1998, pp. 349-384.
PDF File. BibRef 9809
Earlier:
Toboggan-Based Intelligent Scissors with a Four Parameter Edge Model,
CVPR99(II: 452-458).
IEEE DOI 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 Toboggan-Based Intelligent Scissors for Image and Movie Editing,
Ph.D.Thesis, Department of Computer Science, Brigham Young University, Provo, UT, December 2000.
HTML Version. BibRef 0012

Mortensen, E.N.[Eric N.],
Vision-Assisted Image Editing,
Computer Graphics(33), No. 4, November 1999, pp. 55-57.
PDF File. BibRef 9911

Mortensen, E.N.[Eric N.], Barrett, W.A.[William A.],
A Confidence Measure for Boundary Detection and Object Selection,
CVPR01(I:477-484).
IEEE DOI 0110
Create graph from watershed lines, determine whether the graph arc is a boundary. BibRef

Mortensen, E.N., Reese, L.J., Barrett, W.A.,
Intelligent selection tools,
CVPR00(II: 776-777).
IEEE DOI 0403
BibRef

Nyúl, L.G.[László G.], Falcăo, A.X.[Alexandre X.], Udupa, J.K.[Jayaram K.],
Fuzzy-connected 3D image segmentation at interactive speeds,
GM(64), No. 5, September 2002, pp. 259-281.
Elsevier DOI 0309
BibRef

Falcao, A.X.[Alexandre X.], Udupa, J.K.[Jayaram K.], Samarasekera, S.[Supun], Sharma, S.[Shoba], Hirsch, B.E.[Bruce Elliot], de Alencar Lotufo, R.[Roberto],
User-Steered Image Segmentation Paradigms: Live Wire and Live Lane,
GMIP(60), No. 4, July 1998, pp. 233-260. BibRef 9807

Vallin Spina, T.[Thiago], Vechiatto de Miranda, P.A.[Paulo André], Xavier Falcăo, A.[Alexandre],
Hybrid Approaches for Interactive Image Segmentation Using the Live Markers Paradigm,
IP(23), No. 12, December 2014, pp. 5756-5769.
IEEE DOI 1412
BibRef
Earlier: A1, A3, A2:
User-Steered Image Segmentation Using Live Markers,
CAIP11(I: 211-218).
Springer DOI 1109
image segmentation BibRef

Vallin Spina, T.[Thiago], Montoya-Zegarra, J.A.[Javier A.], Vechiatto de Miranda, P.A.[Paulo André], Xavier Falcăo, A.[Alexandre],
Improving User Control with Minimum Involvement in User-Guided Segmentation by Image Foresting Transform,
CAIP09(971-978).
Springer DOI 0909
BibRef

Xavier Falcăo, A.[Alexandre], Udupa, J.K.[Jayaram K.], Miyazawa, F.K.,
An ultra-fast user-steered image segmentation paradigm: Live wire on the fly,
MedImg(19), No. 1, January 2000, pp. 55-62.
IEEE Top Reference. 0110
BibRef

Luo, H.T.[Hui-Tao], Eleftheriadis, A.[Alexandros],
An interactive authoring system for video object segmentation and annotation,
SP:IC(17), No. 7, August 2002, pp. 559-572.
Elsevier DOI 0208
BibRef
Earlier:
Rubberband: an improved graph search algorithm for interactive object segmentation,
ICIP02(I: 101-104).
IEEE DOI 0210
BibRef

Luo, H.T.[Hui-Tao],
Efficient image-dependent object shape coding,
ICIP02(I: 169-172).
IEEE DOI 0210
BibRef

Harders, M., Szekely, G.,
Enhancing human-computer interaction in medical segmentation,
PIEEE(91), No. 9, September 2003, pp. 1430-1442.
IEEE DOI 0309
BibRef

Harville, M.[Michael],
Segmenting video input using high-level feedback,
US_Patent6,999,620, Feb 14, 2006
WWW Link. BibRef 0602

Weese, J.[Juergen], Pekar, V.[Vladimir], Kaus, M.[Michael],
Image segmentation,
US_Patent7,010,164, Mar 7, 2006
WWW Link. From given shape model BibRef 0603

Bertelli, L.[Luca], Sumengen, B.[Baris], Manjunath, B.S., Gibou, F.[Frédéric],
A Variational Framework for Multiregion Pairwise-Similarity-Based Image Segmentation,
PAMI(30), No. 8, August 2008, pp. 1400-1414.
IEEE DOI 0806
BibRef
Earlier: A1, A2, A3, Only:
Redundancy in All Pairs Fast Marching Method,
ICIP06(3033-3036).
IEEE DOI 0610
BibRef
And: A1, A2, A3, Only:
Fast and Adaptive Pairwise Similarities for Graph Cuts-based Image Segmentation,
PercOrg06(179).
IEEE DOI 0609
BibRef

Bertelli, L.[Luca], Ghosh, P.[Pratim], Manjunath, B.S., Gibou, F.[Frederic],
Reference-based probabilistic segmentation as non-rigid registration using Thin Plate Splines,
ICIP08(3052-3055).
IEEE DOI 0810
BibRef

Ghosh, P., Bertelli, L., Sumengen, B., Manjunath, B.S.,
A Nonconservative Flow Field for Robust Variational Image Segmentation,
IP(19), No. 2, February 2010, pp. 478-490.
IEEE DOI 1002
BibRef

Vu, N.[Nhat], Manjunath, B.S.,
Shape prior segmentation of multiple objects with graph cuts,
CVPR08(1-8).
IEEE DOI 0806
BibRef

El Saban, M.A., Manjunath, B.S.,
Interactive segmentation using curve evolution and relevance feedback,
ICIP04(IV: 2725-2728).
IEEE DOI 0505
BibRef

Protiere, A.[Alexis], Sapiro, G.[Guillermo],
Interactive Image Segmentation via Adaptive Weighted Distances,
IP(16), No. 4, April 2007, pp. 1046-1057.
IEEE DOI 0704
BibRef

Shor, R.[Ronen],
Intellegent Scissors: Interactive tool for image segmentation,
Online2008.
HTML Version. Code, Segmentation. Implementation of See also Interactive Segmentation with Intelligent Scissors. BibRef 0800

Shotton, J.D.J.[Jamie D.J.], Winn, J.[John], Rother, C.[Carsten], Criminisi, A.[Antonio],
TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context,
IJCV(81), No. 1, January 2009, pp. xx-yy.
Springer DOI 0901
BibRef
And:
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation,
ECCV06(I: 1-15).
Springer DOI 0608
BibRef

Shotton, J.D.J.[Jamie D.J.], Johnson, M.A.[Matthew A.], Cipolla, R.[Roberto],
Semantic texton forests for image categorization and segmentation,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Wu, W., Yang, J.,
Semi-Automatically Labeling Objects in Images,
IP(18), No. 6, June 2009, pp. 1340-1349.
IEEE DOI 0905
SmartLabel, BibRef

McGuinness, K.[Kevin], O'Connor, N.E.[Noel E.],
A comparative evaluation of interactive segmentation algorithms,
PR(43), No. 2, February 2010, pp. 434-444.
Elsevier DOI 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 1104
Image segmentation; Interactive segmentation; Evaluation; Simulation; Automation; User experiments BibRef

Ning, J.F.[Ji-Feng], Zhang, L.[Lei], Zhang, D.[David], Wu, C.K.[Cheng-Ke],
Interactive image segmentation by maximal similarity based region merging,
PR(43), No. 2, February 2010, pp. 445-456.
Elsevier DOI 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 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 1003
Image segmentation; Interactive segmentation; Semi-supervised learning; Hypergraphs BibRef

Ding, L.[Lei], Yilmaz, A.[Alper], Yan, R.,
Interactive Image Segmentation Using Dirichlet Process Multiple-View Learning,
IP(21), No. 4, April 2012, pp. 2119-2129.
IEEE DOI 1204
BibRef

Ding, L.[Lei], Yilmaz, A.[Alper],
Enhancing Interactive Image Segmentation with Automatic Label Set Augmentation,
ECCV10(VI: 575-588).
Springer DOI 1009
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 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 1007
Interactive image segmentation; Multiphase multiple piecewise constant; Graph cuts optimization; Multilayer graph BibRef

Yang, Y.[Yong], Han, S.D.[Shou-Dong], Wang, T.J.[Tian-Jiang], Tao, W.B.[Wen-Bing], Tai, X.C.[Xue-Cheng],
Multilayer graph cuts based unsupervised color-texture image segmentation using multivariate mixed student's t-distribution and regional credibility merging,
PR(46), No. 4, April 2013, pp. 1101-1124.
Elsevier DOI 1301
Unsupervised color-texture image segmentation; Multilayer graph cuts; Multivariate mixed student's t-distribution; Regional credibility merging BibRef

Yang, Y.[Yong], Guo, L.[Ling], Wang, T.J.[Tian-Jiang], Tao, W.B.[Wen-Bing], Shao, G.P.[Guang-Pu], Feng, Q.[Qi],
Unsupervised multiphase color-texture image segmentation based on variational formulation and multilayer graph,
IVC(32), No. 2, 2014, pp. 87-106.
Elsevier DOI 1403
Variational formulation 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 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 1008
BibRef

Nguyen, T.N.A.[Thi Nhat Anh], Cai, J.F.[Jian-Fei], Zheng, J.M.[Jian-Min], Zheng, J.,
Robust Interactive Image Segmentation Using Convex Active Contours,
IP(21), No. 8, August 2012, pp. 3734-3743.
IEEE DOI 1208
BibRef

Nguyen, T.N.A.[Thi Nhat Anh], Cai, J.F.[Jian-Fei], Zheng, J.M.[Jian-Min], Li, J.G.[Jian-Guo],
Interactive object segmentation from multi-view images,
JVCIR(24), No. 4, May 2013, pp. 477-485.
Elsevier DOI 1305
Interactive image segmentation; Multi-view image segmentation; Image co-segmentation; Image segmentation; 3D graph-cut; Active contour; Object cutout; Joint 3D and 2D segmentation BibRef

Zhou, H.L.[Hai-Ling], Zheng, J.M.[Jian-Min], Wei, L.[Lei],
Texture aware image segmentation using graph cuts and active contours,
PR(46), No. 6, June 2013, pp. 1719-1733.
Elsevier DOI 1302
Interactive image segmentation; Graph cut; Active contour; Color-texture; Structure tensor BibRef

Ge, Q.[Qi], Xiao, L.[Liang], Zhang, J.[Jun], Wei, Z.H.[Zhi Hui],
A robust patch-statistical active contour model for image segmentation,
PRL(33), No. 12, 1 September 2012, pp. 1549-1557.
Elsevier DOI 1208
Active contour model; Image segmentation; Weighting-estimated statistical information; Intensity variation penalization term; Gradient information BibRef

Wang, L.Q.[Li-Qian], Xiao, L.[Liang], Liu, H.Y.[Hong-Yi], Wei, Z.H.[Zhi-Hui],
Local brightness adaptive image colour enhancement with Wasserstein distance,
IET-IPR(9), No. 1, 2015, pp. 43-53.
DOI Link 1502
gradient methods BibRef

Ge, Q.[Qi], Xiao, L.[Liang], Wang, L.Q.[Li Qian], Zhang, Z.R.[Zheng Rong], Wei, Z.H.[Zhi Hui],
A hybrid active contour model with structure feature for image segmentation,
ICIP13(1242-1246)
IEEE DOI 1402
Active contours 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.
DOI Link 1008
image segmentation; discrete maximum principle; domain decomposition; M-matrix; condition numbers; boundary conditions BibRef

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 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

Spina, T.V.[Thiago V.], Falcao, A.X.[Alexandre X.],
Robot users for the evaluation of boundary-tracking approaches in interactive image segmentation,
ICIP14(3248-3252)
IEEE DOI 1502
Image segmentation 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 1201
BibRef

Koo, H.I.[Hyung Il], Lee, S.H.[Sang Hwa], Cho, N.I.[Nam Ik],
Bayesian object extraction from uncalibrated image pairs,
SP:IC(22), No. 10, November 2007, pp. 866-876.
WWW Link. 0711
Segmentation; MRF models; SIFT; Homography BibRef

Lee, S.H.[Sang Hak], Koo, H.I.[Hyung Il], Cho, N.I.[Nam Ik],
Image segmentation algorithms based on the machine learning of features,
PRL(31), No. 14, 15 October 2010, pp. 2325-2336.
Elsevier DOI 1003
BibRef
And:
A video object segmentation algorithm based on the feature learning and shape tracking,
ICIP10(4673-4676).
IEEE DOI 1009
BibRef
Earlier:
An unsupervised image segmentation algorithm based on the machine learning of appropriate features,
ICIP09(4037-4040).
IEEE DOI 0911
Image segmentation; Interactive image segmentation; Unsupervised image segmentation; AdaBoost; Image features BibRef

Koo, H.I.[Hyung Il], Cho, N.I.[Nam Ik],
Boosting image segmentation,
ICIP08(3192-3195).
IEEE DOI 0810
BibRef

Koo, H.I.[Hyung Il], Lee, S.H.[Sang Hwa], Cho, N.I.[Nam Ik], 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 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 Link. 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 Link. 1104
BibRef
Earlier:
iCoseg: Interactive co-segmentation with intelligent scribble guidance,
CVPR10(3169-3176).
IEEE DOI 1006
BibRef

Kowdle, A.[Adarsh], Chang, Y.J.[Yao-Jen], Gallagher, A.C.[Andrew C.], Batra, D.[Dhruv], Chen, T.H.[Tsu-Han],
Putting the User in the Loop for Image-Based Modeling,
IJCV(108), No. 1-2, May 2014, pp. 30-48.
Springer DOI 1405
BibRef
Earlier: A1, A2, A4, A5, Only:
Scribble based interactive 3D reconstruction via scene co-segmentation,
ICIP11(2577-2580).
IEEE DOI 1201
BibRef

Batra, D.[Dhruv], Parikh, D.[Devi], Kowdle, A.[Adarsh], Chen, T.H.[Tsu-Han], Luo, J.B.[Jie-Bo],
Seed Image Selection in interactive cosegmentation,
ICIP09(2393-2396).
IEEE DOI 0911
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 Link. Buy this book: Interactive Co-segmentation of Objects in Image Collections (SpringerBriefs in Computer Science) 1111
BibRef

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 1101
Mathematical morphology; Component-tree; Grey-level images; Interactive segmentation See also Interactive Segmentation Based on Component-trees. BibRef

Naegel, B.[Benoît], Passat, N.[Nicolas],
Interactive Segmentation Based on Component-trees,
IPOL(2014), No. 2014, pp. 89-97.
DOI Link 1405
Code, Segmentation. BibRef

Kowalczyk, M.K.[Michal Kazimierz], Kerautret, B.[Bertrand], Naegel, B.[Benoît], Weber, J.[Jonathan],
Revisiting Component Tree Based Segmentation Using Meaningful Photometric Informations,
ICCVG12(475-482).
Springer DOI 1210
BibRef

Zhong, F.[Fan], Qin, X.Y.[Xue-Ying], Peng, Q.S.[Qun-Sheng],
Robust image segmentation against complex color distribution,
VC(27), No. 6-8, June 2011, pp. 707-716.
WWW Link. 1107
Interactive segmentation. BibRef

Pan, Y.S.[Yong-Sheng], Jeong, W.K.[Won-Ki], Whitaker, R.T.[Ross T.],
Markov surfaces: A probabilistic framework for user-assisted three-dimensional image segmentation,
CVIU(115), No. 10, October 2011, pp. 1375-1383.
Elsevier DOI 1108
Image segmentation; Probabilistic framework; Markov chain; GPU BibRef

Noma, A.[Alexandre], Graciano, A.B.V.[Ana B.V.], Cesar, Jr., R.M.[Roberto M.], Consularo, L.A.[Luis A.], Bloch, I.[Isabelle],
Interactive image segmentation by matching attributed relational graphs,
PR(45), No. 3, March 2012, pp. 1159-1179.
Elsevier DOI 1111
Interactive image segmentation; Matching attributed relational graphs; Deformed graph; Spatial configuration BibRef

Consularo, L.A.[Luis Augusto], Cesar, R.M.[Roberto M.], Bloch, I.[Isabelle],
Structural Image Segmentation with Interactive Model Generation,
ICIP07(VI: 45-48).
IEEE DOI 0709
Segmentation by oversegmentation and user sketch. BibRef

Mao, C.[Cui], Gururajan, A.[Arunkumar], Sari-Sarraf, H.[Hamed], Hequet, E.[Eric],
Machine vision scheme for stain-release evaluation using Gabor filters with optimized coefficients,
MVA(23), No. 2, March 2012, pp. 349-361.
WWW Link. 1202
BibRef

Gururajan, A.[Arunkumar], Sari-Sarraf, H.[Hamed], Hequet, E.[Eric],
Interactive texture segmentation via IT-SNAPS,
Southwest10(129-132).
IEEE DOI 1005
BibRef

Kim, T.K.[Tae-Kyun], Budvytis, I.[Ignas], Cipolla, R.[Roberto],
Making a Shallow Network Deep: Conversion of a Boosting Classifier into a Decision Tree by Boolean Optimisation,
IJCV(100), No. 2, November 2012, pp. 203-215.
WWW Link. 1209
BibRef
Earlier:
Making a Shallow Network Deep: Growing a Tree from Decision Regions of a Boosting Classifier,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Badrinarayanan, V.[Vijay], Budvytis, I.[Ignas], Cipolla, R.[Roberto],
Semi-Supervised Video Segmentation Using Tree Structured Graphical Models,
PAMI(35), No. 11, 2013, pp. 2751-2764.
IEEE DOI 1309
BibRef
Earlier: A2, A1, A3: CVPR11(2257-2264).
IEEE DOI 1106
BibRef
Earlier: A2, A1, A3:
Label propagation in complex video sequences using semi-supervised learning,
BMVC10(xx-yy).
HTML Version. 1009
Computational modeling BibRef

Badrinarayanan, V.[Vijay], Budvytis, I.[Ignas], Cipolla, R.[Roberto],
Mixture of Trees Probabilistic Graphical Model for Video Segmentation,
IJCV(110), No. 1, October 2014, pp. 14-29.
Springer DOI
WWW Link. 1410
BibRef
Earlier: A2, A1, A3:
MoT: Mixture of Trees Probabilistic Graphical Model for Video Segmentation,
BMVC12(72).
DOI Link 1301
BibRef

Galasso, F.[Fabio], Cipolla, R.[Roberto], Schiele, B.[Bernt],
Video Segmentation with Superpixels,
ACCV12(I:760-774).
Springer DOI 1304
BibRef

Badrinarayanan, V.[Vijay], Galasso, F.[Fabio], Cipolla, R.[Roberto],
Label propagation in video sequences,
CVPR10(3265-3272).
IEEE DOI 1006
propogate the small set of hand labeled pixels. BibRef

Bai, X.[Xue], Zhao, Y.B.[Yi-Biao], Luo, S.W.[Si-Wei],
Normalized Joint Mutual Information Measure for Ground Truth Based Segmentation Evaluation,
IEICE(E95-D), No. 10, October 2012, pp. 2581-2584.
WWW Link. 1210
BibRef

Bai, X.[Xue], Zhao, Y.B.[Yi-Biao], Huang, Y.P.[Ya-Ping], Luo, S.W.[Si-Wei],
Normalized Joint Mutual Information Measure for Image Segmentation Evaluation with Multiple Ground-Truth Images,
CAIP11(I: 110-117).
Springer DOI 1109
BibRef

Zhao, Y.B.[Yi-Biao], Nie, X.H.[Xiao-Han], Duan, Y.B.[Yan-Biao], Huang, Y.P.[Ya-Ping], Luo, S.W.[Si-Wei],
A benchmark for interactive image segmentation algorithms,
POV11(33-38).
IEEE DOI 1101
BibRef

Kohli, P.[Pushmeet], Nickisch, H.[Hannes], Rother, C.[Carsten], Rhemann, C.[Christoph],
User-Centric Learning and Evaluation of Interactive Segmentation Systems,
IJCV(100), No. 3, December 2012, pp. 261-274.
WWW Link. 1210
BibRef
Earlier: A2, A3, A1, A4:
Learning an interactive segmentation system,
ICCVGIP10(274-281).
DOI Link 1111
BibRef

Freedman, D.[Daniel],
An improved image graph for semi-automatic segmentation,
SIViP(6), No. 4, November 2012, pp. 533-545.
WWW Link. 1210
BibRef

Li, Y.[Yan], Tax, D.M.J.[David M.J.], Loog, M.[Marco],
Scale selection for supervised image segmentation,
IVC(30), No. 12, December 2012, pp. 991-1003.
Elsevier DOI 1212
BibRef
Earlier:
Supervised Scale-Invariant Segmentation (and Detection),
SSVM11(350-361).
Springer DOI 1201
Scale selection; Image segmentation; Supervised learning; Scale space theory; Max rule BibRef

Li, Y.[Yan], Duin, R.P.W.[Robert P. W.], Loog, M.[Marco],
Combining multi-scale dissimilarities for image classification,
ICPR12(1639-1642).
WWW Link. 1302
BibRef

Li, Y.[Yan], Loog, M.[Marco],
Scale-invariant sampling for supervised image segmentation,
ICPR12(1399-1402).
WWW Link. 1302
BibRef

Andrade, M.C.[Marcos Carneiro],
An Interactive Deformable Model Segmentation Algorithm Driven by Morphological Dilations and Erosions Constrained by an Exclusion Band,
ELCVIA(11), No. 1, 2012, pp. xx-yy.
WWW Link. 1301
BibRef

Shen, J., Yang, X., Li, X., Jia, Y.,
Intrinsic Image Decomposition Using Optimization and User Scribbles,
Cyber(43), No. 2, April 2013, pp. 425-436.
IEEE DOI 1303
BibRef

Nieuwenhuis, C.[Claudia], Cremers, D.[Daniel],
Spatially Varying Color Distributions for Interactive Multilabel Segmentation,
PAMI(35), No. 5, May 2013, pp. 1234-1247.
IEEE DOI 1304
BibRef

Nieuwenhuis, C.[Claudia], Töppe, E.[Eno], Cremers, D.[Daniel],
A Survey and Comparison of Discrete and Continuous Multi-label Optimization Approaches for the Potts Model,
IJCV(104), No. 3, September 2013, pp. 223-240.
WWW Link. 1308
BibRef
Earlier:
Space-Varying Color Distributions for Interactive Multiregion Segmentation: Discrete versus Continuous Approaches,
EMMCVPR11(177-190).
Springer DOI 1107
BibRef

Zhao, F.[Feng], Xie, X.H.[Xiang-Hua],
An Overview of Interactive Medical Image Segmentation,
BMVA(2013), No. 1, 2013, pp. 7, 1-22.
PDF File. 1304
Survey, Segmentation. BibRef

Panagiotakis, C.[Costas], Papadakis, H.[Harris], Grinias, E.[Elias], Komodakis, N.[Nikos], Fragopoulou, P.[Paraskevi], Tziritas, G.[Georgios],
Interactive image segmentation based on synthetic graph coordinates,
PR(46), No. 11, November 2013, pp. 2940-2952.
Elsevier DOI 1306
Image segmentation; Interactive image segmentation; Network coordinates; Community detection; Markov Random Field BibRef

Panagiotakis, C.[Costas], Papadakis, H.[Harris],
Interactive Image Segmentation via Graph Clustering and Synthetic Coordinates Modeling,
CAIP13(589-596).
Springer DOI 1308
BibRef

Kurtek, S.[Sebastian], Su, J.Y.[Jing-Yong], Grimm, C.[Cindy], Vaughan, M.[Michelle], Sowell, R.[Ross], Srivastava, A.[Anuj],
Statistical analysis of manual segmentations of structures in medical images,
CVIU(117), No. 9, 2013, pp. 1036-1050.
Elsevier DOI 1307
Medical imaging BibRef

Yuan, X.S.[Xing-Sheng], Xiang, F.T.[Feng-Tao], Wang, Z.Z.[Zheng-Zhi],
Semi-automatic object segmentation using colour invariance and Graph cuts,
IET-PR(8), No. 2, February 2014, pp. 69-77.
DOI Link 1403
graph theory BibRef

Hsu, K.J.[Kuang-Jui], Lin, Y.Y.[Yen-Yu], Chuang, Y.Y.[Yung-Yu],
Augmented Multiple Instance Regression for Inferring Object Contours in Bounding Boxes,
IP(23), No. 4, April 2014, pp. 1722-1736.
IEEE DOI 1404
image segmentation. How to acquire ground truth for semantic segmentation. BibRef

He, J.[Jia], Kim, C.S.[Chang-Su], Kuo, C.C.J.[C.C. Jay],
Interactive Segmentation Techniques: Algorithms and Performance Evaluation,

Springer2014. ISBN 978-981-4451-59-8.
WWW Link. 1404
BibRef

Jung, C.[Cheolkon], Jian, M.[Meng], Liu, J.[Juan], Jiao, L.C.[Li-Cheng], Shen, Y.[Yanbo],
Interactive image segmentation via kernel propagation,
PR(47), No. 8, 2014, pp. 2745-2755.
Elsevier DOI 1405
Interactive image segmentation BibRef

Jian, M.[Meng], Jung, C.[Cheolkon],
Interactive Image Segmentation Using Adaptive Constraint Propagation,
IP(25), No. 3, March 2016, pp. 1301-1311.
IEEE DOI 1602
Coherence BibRef

Kang, S.H.[Sung Ha], Shafei, B.[Behrang], Steidl, G.[Gabriele],
Supervised and transductive multi-class segmentation using p-Laplacians and RKHS methods,
JVCIR(25), No. 5, 2014, pp. 1136-1148.
Elsevier DOI 1406
Multi-class BibRef

Kang, S.H.[Sung Ha], March, R.[Riccardo],
Multiphase image segmentation via equally distanced multiple well potential,
JVCIR(25), No. 6, 2014, pp. 1446-1459.
Elsevier DOI 1407
Image segmentation BibRef

Gass, T.[Tobias], Székely, G.[Gábor], Goksel, O.[Orcun],
Simultaneous Segmentation and Multiresolution Nonrigid Atlas Registration,
IP(23), No. 7, July 2014, pp. 2931-2943.
IEEE DOI 1407
BibRef
And:
Registration Fusion Using Markov Random Fields,
WBIR14(213-222).
Springer DOI 1407
BibRef
Earlier:
Semi-supervised Segmentation Using Multiple Segmentation Hypotheses from a Single Atlas,
MCVM12(29-37).
Springer DOI 1305
Bayes methods BibRef

Fourie, C.[Christoff], Schoepfer, E.[Elisabeth],
Data Transformation Functions for Expanded Search Spaces in Geographic Sample Supervised Segment Generation,
RS(6), No. 5, 2014, pp. 3791-3821.
DOI Link 1407
supervised segment generation. BibRef

Fourie, C.[Christoff], Schoepfer, E.[Elisabeth],
Classifier Directed Data Hybridization for Geographic Sample Supervised Segment Generation,
RS(6), No. 12, 2014, pp. 11852-11882.
DOI Link 1412
BibRef

Fourie, C.[Christoff],
On Attribute Thresholding and Data Mapping Functions in a Supervised Connected Component Segmentation Framework,
RS(7), No. 6, 2015, pp. 7350.
DOI Link 1507
BibRef

Waggoner, J.[Jarrell], Zhou, Y.J.[You-Jie], Simmons, J.[Jeff], De Graef, M.[Marc], Wang, S.[Song],
Graph-cut based interactive segmentation of 3D materials-science images,
MVA(25), No. 6, 2014, pp. 1615-1629.
Springer DOI 1408
BibRef

Garcia-Cardona, C., Merkurjev, E., Bertozzi, A.L., Flenner, A., Percus, A.G.,
Multiclass Data Segmentation Using Diffuse Interface Methods on Graphs,
PAMI(36), No. 8, August 2014, pp. 1600-1613.
IEEE DOI 1407
Equations BibRef

Shen, J., Du, Y., Li, X.,
Interactive Segmentation Using Constrained Laplacian Optimization,
CirSysVideo(24), No. 7, July 2014, pp. 1088-1100.
IEEE DOI 1407
Approximation algorithms BibRef

Zhang, L., Yang, Y., Gao, Y., Yu, Y., Wang, C., Li, X.,
A Probabilistic Associative Model for Segmenting Weakly Supervised Images,
IP(23), No. 9, September 2014, pp. 4150-4159.
IEEE DOI 1410
belief networks BibRef

Senyukova, O.V.[Olga V.],
Segmentation of blurred objects by classification of isolabel contours,
PR(47), No. 12, 2014, pp. 3881-3889.
Elsevier DOI 1410
Blurred objects segmentation BibRef

Jalba, A.C., Westenberg, M.A., Roerdink, J.B.T.M.,
Interactive Segmentation and Visualization of DTI Data Using a Hierarchical Watershed Representation,
IP(24), No. 3, March 2015, pp. 1025-1035.
IEEE DOI 1502
Data visualization BibRef

Meka, A., Chaudhuri, S.,
A Technique for Simultaneous Visualization and Segmentation of Hyperspectral Data,
GeoRS(53), No. 4, April 2015, pp. 1707-1717.
IEEE DOI 1502
geophysical image processing BibRef

Mille, J.[Julien], Bougleux, S.[Sébastien], Cohen, L.D.[Laurent D.],
Combination of Piecewise-Geodesic Paths for Interactive Segmentation,
IJCV(112), No. 1, March 2015, pp. 1-22.
Springer DOI 1503
BibRef

van Opbroek, A.[Annegreet], Ikram, M.A.[M. Arfan], Vernooij, M.W.[Meike W.], de Bruijne, M.[Marleen],
Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols,
MedImg(34), No. 5, May 2015, pp. 1018-1030.
IEEE DOI 1505
BibRef
Earlier:
Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach,
MLMI12(160-167).
Springer DOI 1211
Biomedical imaging BibRef

Dollar, P.[Piotr], Zitnick, C.L.[C. Lawrence],
Fast Edge Detection Using Structured Forests,
PAMI(37), No. 8, August 2015, pp. 1558-1570.
IEEE DOI 1507
BibRef
Earlier:
Structured Forests for Fast Edge Detection,
ICCV13(1841-1848)
IEEE DOI 1403
Detectors. edge detection; realtime vision; structure learning BibRef

Lim, J.J.[Joseph J.], Zitnick, C.L.[C. Lawrence], Dollar, P.[Piotr],
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection,
CVPR13(3158-3165)
IEEE DOI 1309
Use hand drawn contours to learn. BibRef

Bhattacharjee, S.D.[Sreyasee Das], Mittal, A.[Anurag],
Part-based deformable object detection with a single sketch,
CVIU(139), No. 1, 2015, pp. 73-87.
Elsevier DOI 1509
Hand-drawn sketches BibRef

Bhattacharjee, S.D., Yuan, J., Tan, Y.P., Duan, L.Y.,
Query-Adaptive Small Object Search Using Object Proposals and Shape-Aware Descriptors,
MultMed(18), No. 4, April 2016, pp. 726-737.
IEEE DOI 1604
Clutter BibRef

Marvaniya, S.[Smit], Bhattacharjee, S.[Sreyasee], Manickavasagam, V.[Venkatesh], Mittal, A.[Anurag],
Drawing an Automatic Sketch of Deformable Objects Using Only a Few Images,
NORDIA12(I: 63-72).
Springer DOI 1210
BibRef

Gueziri, H.E.[Houssem-Eddine], McGuffin, M.J.[Michael J.], Laporte, C.[Catherine],
A generalized graph reduction framework for interactive segmentation of large images,
CVIU(150), No. 1, 2016, pp. 44-57.
Elsevier DOI 1608
BibRef
Earlier:
User-guided graph reduction for fast image segmentation,
ICIP15(286-290)
IEEE DOI 1512
Interactive segmentation. Random Walker BibRef

Mahapatra, D.[Dwarikanath],
Combining multiple expert annotations using semi-supervised learning and graph cuts for medical image segmentation,
CVIU(151), No. 1, 2016, pp. 114-123.
Elsevier DOI 1610
Multiple experts BibRef

Mahapatra, D.[Dwarikanath],
Semi-supervised learning and graph cuts for consensus based medical image segmentation,
PR(63), No. 1, 2017, pp. 700-709.
Elsevier DOI 1612
Multiple experts BibRef

Xian, M.[Min], Zhang, Y.T.[Ying-Tao], Cheng, H.D.[Heng-Da], Xu, F.[Fei], Ding, J.R.[Jian-Rui],
Neutro-Connectedness Cut,
IP(25), No. 10, October 2016, pp. 4691-4703.
IEEE DOI 1610
image segmentation BibRef

Xu, X.C.[Xiao-Cheng], Ma, J.[Jun], Nie, L.Q.[Li-Qiang],
Weakly supervised image parsing via label propagation over discriminatively semantic graph,
JVCIR(40, Part B), No. 1, 2016, pp. 808-815.
Elsevier DOI 1610
Weakly supervised image parsing BibRef

Lin, L., Yang, W., Li, C., Tang, J., Cao, X.,
Inference With Collaborative Model for Interactive Tumor Segmentation in Medical Image Sequences,
Cyber(46), No. 12, December 2016, pp. 2796-2809.
IEEE DOI 1612
Biomedical imaging BibRef

Luo, L.[Lingkun], Wang, X.F.[Xiao-Fang], Hu, S.Q.[Shi-Qiang], Hu, X.[Xin], Chen, L.M.[Li-Ming],
Interactive image segmentation based on samples reconstruction and FLDA,
JVCIR(43), No. 1, 2017, pp. 138-151.
Elsevier DOI 1702
FLDA BibRef


Xian, M.[Min], Xu, F.[Fei], Cheng, H.D., Zhang, Y.T.[Ying-Tao], Ding, J.R.[Jian-Rui],
EISeg: Effective interactive segmentation,
ICPR16(1982-1987)
IEEE DOI 1705
Image color analysis, Image segmentation, Nonhomogeneous media, Protocols, Vegetation, Visualization, Interactive segmentation, Neutro-Connectedness, effectiveness, of, interaction BibRef

Fu, X.[Xiang], Wang, C.H.[Chang-Hu], Kuo, C.C.J.[C.C. Jay],
Hierarchical Supervoxel Graph for Interactive Video Object Representation and Segmentation,
ACCV16(I: 103-120).
Springer DOI 1704
BibRef

Brenner, R.[Rorry], Priyadarshi, J.[Jay], Itti, L.[Laurent],
Perfect Accuracy with Human-in-the-Loop Object Detection,
ACVR16(II: 360-374).
Springer DOI 1611
BibRef

Zemene, E.[Eyasu], Pelillo, M.[Marcello],
Interactive Image Segmentation Using Constrained Dominant Sets,
ECCV16(VIII: 278-294).
Springer DOI 1611
BibRef

Schöning, J.[Julius], Faion, P.[Patrick], Heidemann, G.[Gunther],
Interactive Feature Growing for Accurate Object Detection in Megapixel Images,
Egocentric16(I: 546-556).
Springer DOI 1611
BibRef

Müller, S.[Sabine], Ochs, P.[Peter], Weickert, J.[Joachim], Graf, N.[Norbert],
Robust Interactive Multi-label Segmentation with an Advanced Edge Detector,
GCPR16(117-128).
Springer DOI 1611
BibRef

Kolesnikov, A.[Alexander], Lampert, C.H.[Christoph H.],
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation,
ECCV16(IV: 695-711).
Springer DOI 1611
BibRef

Park, S., Lee, H.S., Kim, J.,
Seed growing for interactive image segmentation with geodesic voting,
ICIP16(2564-2568)
IEEE DOI 1610
Color BibRef

Hasegawa, T., Ambai, M., Ishikawa, K., Koutaki, G., Yamauchi, Y., Yamashita, T., Fujiyoshi, H.,
Multiple-Hypothesis Affine Region Estimation with Anisotropic LoG Filters,
ICCV15(585-593)
IEEE DOI 1602
Convolution BibRef

Dai, L.Z.[Ling-Zheng], Ding, J.D.[Jun-Di], Chen, J.H.[Jin-Hui], Li, J.[Jun], Yang, J.[Jian],
Object segmentation using low-rank representation with multiple block-diagonal priors,
ICPR16(1959-1964)
IEEE DOI 1705
Clustering algorithms, Image segmentation, Inference algorithms, Linear programming, Nonhomogeneous media, Partitioning algorithms, Reliability BibRef

Dai, L.Z.[Ling-Zheng], Ding, J.D.[Jun-Di], Yang, J.[Jian], Zhang, F.L.[Fan-Long], Li, J.X.[Jun-Xia],
Object Extraction from Bounding Box Prior with Double Sparse Reconstruction,
RSL-CV15(903-911)
IEEE DOI 1602
Databases BibRef

Du, Y.F.[Yun-Fan], Li, F.[Fei], Liu, R.J.[Ru-Jie],
Fast Interactive Image Segmentation Using Bipartite Graph Based Random Walk with Restart,
PSIVT15(344-354).
Springer DOI 1602
BibRef

Li, F.[Feng], Porikli, F.M.[Fatih M.],
Enforcing Point-wise Priors on Binary Segmentation,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Meshry, M.[Moustafa], Taha, A.[Ahmed], Torki, M.[Marwan],
Multi-Modality Feature Transform: An Interactive Image Segmentation Approach,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Li, W.B.[Wen-Bin], Shi, Y.H.[Ying-Huan], Yang, W.Q.[Wan-Qi], Wang, H.[Hao], Gao, Y.[Yang],
Interactive image segmentation via cascaded metric learning,
ICIP15(2900-2904)
IEEE DOI 1512
Cascaded Metric Learning BibRef

Tian, X.L.[Xiao-Liang], Jung, C.[Cheolkon],
Point-cut: Fixation point-based image segmentation using random walk model,
ICIP15(2125-2129)
IEEE DOI 1512
Image segmentation; fixation; human attention; random walks BibRef

Choi, J.W.[Jong-Won], Choi, J.Y.[Jin Young],
User interactive segmentation with partially growing random forest,
ICIP15(1090-1094)
IEEE DOI 1512
User interactive segmentation BibRef

Gopalakrishnan, V.[Viswanath], Purwar, A.[Anirudh], Lokkoju, S.[Satish], Kumar, R.[Raushan], Iyer, K.N.[Kiran Nanjunda],
Interactive object segmentation using single touch,
ICIP15(281-285)
IEEE DOI 1512
Graph Cut; Interactive Segmentation; Random Walk; Single Touch BibRef

Taha, A.[Ahmed], Torki, M.[Marwan],
Seeded Laplacian: An interactive image segmentation approach using eigenfunctions,
ICIP15(11-15)
IEEE DOI 1512
eigenfunctions; graph Laplacian; interactive segmentation; vision BibRef

Karnyaczki, S.[Stefan], Desrosiers, C.[Christian],
A sparse coding method for semi-supervised segmentation with multi-class histogram constraints,
ICIP15(3215-3219)
IEEE DOI 1512
Semi-supervised segmentation; histogram prior; sparse coding BibRef

Xu, J.[Jia], Schwing, A.G.[Alexander G.], Urtasun, R.[Raquel],
Learning to segment under various forms of weak supervision,
CVPR15(3781-3790)
IEEE DOI 1510
BibRef

Klava, B.[Bruno], Hirata, N.S.T.[Nina S.T.],
A model for simulating user interaction in hierarchical segmentation,
ICIP14(4358-4362)
IEEE DOI 1502
Computational modeling BibRef

Peng, Y.[Yao], Zhang, J.Y.[Ju-Yong], Yuan, Y.C.[Yan-Cheng], Zhu, S.Y.[Shu-Yuan], Fang, L.[Lu],
Robust interactive image segmentation via iterative refinement,
ICIP14(4383-4387)
IEEE DOI 1502
Active contours BibRef

Malistov, A.[Alexey],
Shortest Enclosing Walks with a Non-zero Winding Number in Directed Weighted Planar Graphs: A Technique for Image Segmentation,
ISVC14(II: 736-745).
Springer DOI 1501
motivated by: See also Interactive Segmentation with Intelligent Scissors. BibRef

Reso, M.[Matthias], Jachalsky, J.[Jörn], Rosenhahn, B.[Bodo], Ostermann, J.[Jörn],
Superpixels for Video Content Using a Contour-Based EM Optimization,
ACCV14(IV: 692-707).
Springer DOI 1504
BibRef

Reso, M.[Matthias], Scheuermann, B.[Björn], Jachalsky, J.[Jörn], Rosenhahn, B.[Bodo], Ostermann, J.[Jörn],
Interactive Segmentation of High-Resolution Video Content Using Temporally Coherent Superpixels and Graph Cut,
ISVC14(I: 281-292).
Springer DOI 1501
BibRef

Ozay, M.[Mete],
Semi-supervised Segmentation Fusion of Multi-spectral and Aerial Images,
ICPR14(3839-3844)
IEEE DOI 1412
Algorithm design and analysis BibRef

Triebel, R.[Rudolph], Stühmer, J.[Jan], Souiai, M.[Mohamed], Cremers, D.[Daniel],
Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes,
GCPR14(641-652).
Springer DOI 1411
BibRef

Wu, J.J.[Jia-Jun], Zhao, Y.B.[Yi-Biao], Zhu, J.Y.[Jun-Yan], Luo, S.W.[Si-Wei], Tu, Z.W.[Zhuo-Wen],
MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation,
CVPR14(256-263)
IEEE DOI 1409
Bounding box prior See also Simultaneous Learning and Alignmennt: Multi-Instance and Multi-Pose Learning. BibRef

Nieuwenhuis, C.[Claudia], Hawe, S.[Simon], Kleinsteuber, M.[Martin], Cremers, D.[Daniel],
Co-Sparse Textural Similarity for Interactive Segmentation,
ECCV14(VI: 285-301).
Springer DOI 1408
BibRef

Borianne, P.[Philippe], Subsol, G.[Gérard],
Fast Semi-supervised Segmentation of in Situ Tree Color Images,
ICISP14(161-172).
Springer DOI 1406
BibRef

Wang, T.H.[Ting-Huai], Han, B.[Bo], Collomosse, J.P.[John P.],
TouchCut: Fast image and video segmentation using single-touch interaction,
CVIU(120), No. 1, 2014, pp. 14-30.
Elsevier DOI 1403
Object cut-out BibRef

Zhu, Q.S.[Qing-Song], Shao, L.[Ling], Song, Z.[Zhan], Xie, Y.[Yaoqin],
SUPERCUT: An accurate and effective interactive image segmentation algorithm,
ICIP13(4269-4272)
IEEE DOI 1402
Graph cut BibRef

Zhang, H.Z.[Huai-Zhong], Essa, E.[Ehab], Xie, X.H.[Xiang-Hua],
Graph based segmentation with minimal user interaction,
ICIP13(4074-4078)
IEEE DOI 1402
Graph cut BibRef

McGuinness, K.[Kevin], O'Connor, N.E.[Noel E.],
Improved graph cut segmentation by learning a contrast model on the fly,
ICIP13(2723-2727)
IEEE DOI 1402
Graph cuts; Interactive segmentation; Object segmentation BibRef

Horn, M.[Martin], Berthold, M.R.[Michael R.],
Learning Precise Local Boundaries in Images from Human Tracings,
CIAP13(I:131-140).
Springer DOI 1311
BibRef

Haque, S.M.R.[S.M. Rafizul], Eramian, M.G.[Mark G.],
Evaluation of Interactive Segmentation Algorithms Using Densely Sampled Correct Interactions,
CIAP13(I:191-200).
Springer DOI 1311
BibRef

Xu, J.[Jia], Collins, M.D.[Maxwell D.], Singh, V.[Vikas],
Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus,
CVPR13(1886-1893)
IEEE DOI 1309
contour completion; discrete calculus; interactive segmentation; topology BibRef

Hebbalaguppe, R., McGuinness, K., Kuklyte, J., Healy, G., O'Connor, N., Smeaton, A.,
How interaction methods affect image segmentation: User experience in the task,
UCCV13 2013(19-24)
IEEE DOI 1307
electroencephalography BibRef

Kim, J.M.[Jong-Min], Seo, Y.J.[Young-Joo], Park, S.[Sanghyuk], Yun, S.[Sungrack], Yoo, C.D.[Chang D.],
Joint Kernel Learning for Supervised Image Segmentation,
ACCV12(I:607-621).
Springer DOI 1304
BibRef

Li, J.C.[Jian-Chao], Wang, D.[Dan], Yan, C.X.[Can-Xiang], Shan, S.G.[Shi-Guang],
Object segmentation with deep regression,
ICIP15(1668-1672)
IEEE DOI 1512
Object segmentation BibRef

Lu, Y.[Yuheng], Wang, R.P.[Rui-Ping], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Multiple-Shot Person Re-identification via Riemannian Discriminative Learning,
BEST16(III: 408-425).
Springer DOI 1704
BibRef

Yan, C.X.[Can-Xiang], Shan, S.G.[Shi-Guang], Wang, D.[Dan], Li, H.[Hao], Chen, X.L.[Xi-Lin],
View-Adaptive Metric Learning for Multi-view Person Re-identification,
ACCV14(II: 688-702).
Springer DOI 1504
BibRef
Earlier: A3, A1, A2, A5, Only:
Active Learning for Interactive Segmentation with Expected Confidence Change,
ACCV12(I:790-802).
Springer DOI 1304
BibRef

Arndt, O.J., Scheuermann, B., Rosenhahn, B.,
'RegionCut': Interactive multi-label segmentation utilizing cellular automaton,
WACV13(309-316).
IEEE DOI 1303
BibRef

Chen, Y.S.[Yi-Song], Chan, A.B.[Antoni B.], Wang, G.P.[Guo-Ping],
Adaptive figure-ground classification,
CVPR12(654-661).
IEEE DOI 1208
BibRef

Yao, A.[Angela], Gall, J.[Juergen], Leistner, C.[Christian], Van Gool, L.J.[Luc J.],
Interactive object detection,
CVPR12(3242-3249).
IEEE DOI 1208
BibRef

Lou, X.[Xinghua], Koethe, U.[Ullrich], Wittbrodt, J.[Jochen], Hamprecht, F.A.[Fred A.],
Learning to segment dense cell nuclei with shape prior,
CVPR12(1012-1018).
IEEE DOI 1208
BibRef

Straehle, Christoph-N., Koethe, U.[Ullrich], Knott, G.[Graham], Briggman, K.[Kevin], Denk, W.[Winfried], Hamprecht, F.A.[Fred A.],
Seeded watershed cut uncertainty estimators for guided interactive segmentation,
CVPR12(765-772).
IEEE DOI 1208
BibRef

Kuang, Z.H.[Zhang-Hui], Schnieders, D.[Dirk], Zhou, H.[Hao], Wong, K.Y.K.[Kwan-Yee K.], Yu, Y.[Yizhou], Peng, B.[Bo],
Learning image-specific parameters for interactive segmentation,
CVPR12(590-597).
IEEE DOI 1208
BibRef

Dhara, B.C., Chanda, B.,
A Fast Interactive Image Segmentation to Locate Multiple Similar-colored Objects,
NCVPRIPG11(25-28).
IEEE DOI 1205
BibRef

Little, J.[Joshua], Abrams, A.[Austin], Pless, R.[Robert],
Tools for richer crowd source image annotations,
WACV12(369-374).
IEEE DOI 1203
See also LOST: Longterm Observation of Scenes (with Tracks). Mechanical Turk (crowd source) based application. Tools for better annotation. BibRef

Shi, R.[Ran], Liu, Z.[Zhi], Xue, Y.Z.[Yin-Zhu], Zhang, X.[Xiang],
Interactive object segmentation using iterative adjustable graph cut,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Garg, S.[Supriya], Padalkar, K.[Kshitij], Mueller, K.[Klaus],
Magic Marker: A Color Analytics Interface for Image Annotation,
ISVC11(I: 629-640).
Springer DOI 1109
BibRef

Gorelick, L.[Lena], Schmidt, F.R.[Frank R.], Boykov, Y.Y.[Yuri Y.],
Fast Trust Region for Segmentation,
CVPR13(1714-1721)
IEEE DOI 1309
High-order Energies; Optimization; Segmentation; Trust Region BibRef

Gorelick, L.[Lena], Schmidt, F.R.[Frank R.], Boykov, Y.Y.[Yuri Y.], Delong, A.[Andrew], Ward, A.[Aaron],
Segmentation with Non-linear Regional Constraints via Line-Search Cuts,
ECCV12(I: 583-597).
Springer DOI 1210
BibRef

Delong, A.[Andrew], Gorelick, L.[Lena], Schmidt, F.R.[Frank R.], Veksler, O.[Olga], Boykov, Y.Y.[Yuri Y.],
Interactive Segmentation with Super-Labels,
EMMCVPR11(147-162).
Springer DOI 1107
BibRef

Artan, Y.[Yusuf],
Interactive Image Segmentation Using Machine Learning Techniques,
CRV11(264-269).
IEEE DOI 1105
BibRef

Santner, J.[Jakob], Pock, T.[Thomas], Bischof, H.[Horst],
Interactive Multi-label Segmentation,
ACCV10(I: 397-410).
Springer DOI 1011
BibRef

Herve, N.[Nicolas], Servais, A.[Aude], Thervet, E.[Eric], Olivo-Marin, J.C.[Jean-Christophe], Meas-Yedid, V.[Vannary],
Improving histology images segmentation through spatial constraints and supervision,
ICIP10(3633-3636).
IEEE DOI 1009
BibRef

Zhu, Y.X.[Ying-Xuan], Cheng, S.[Samuel], Goel, A.[Amrit],
Interactive segmentation of medical images using belief propagation with level sets,
ICIP10(4113-4116).
IEEE DOI 1009
BibRef

Jagadeesh, V.[Vignesh], Manjunath, B S,
Interactive graph cut segmentation of touching neuronal structures from electron micrographs,
ICIP10(3625-3628).
IEEE DOI 1009
BibRef

Guo, G.[Ge], Liu, L.Q.[Luo-Qi], Zhang, Z.B.[Zhe-Bin], Wang, Y.Z.[Yi-Zhou], Gao, W.[Wen],
An interactive method for curve extraction,
ICIP10(1905-1908).
IEEE DOI 1009
BibRef

Liu, D.D.[Ding-Ding], Xiong, Y.G.[Yin-Gen], Shapiro, L.G.[Linda G.], Pulli, K.[Kari],
Robust interactive image segmentation with automatic boundary refinement,
ICIP10(225-228).
IEEE DOI 1009
BibRef

Grinias, I.[Ilias], Komodakis, N.[Nikos], Tziritas, G.[Georgios],
Flooding and MRF-based Algorithms for Interactive Segmentation,
ICPR10(3943-3946).
IEEE DOI 1008
BibRef

Schlesinger, D.[Dmitrij],
A Real-Time MRF Based Approach for Binary Segmentation,
DAGM12(387-396).
Springer DOI 1209
BibRef

Kirmizigül, D.[Denis], Schlesinger, D.[Dmitrij],
Incremental Learning in the Energy Minimisation Framework for Interactive Segmentation,
DAGM10(323-332).
Springer DOI 1009
BibRef

Chen, Y.T.[Yi-Ting], Yang, J.[Jimei], Yang, M.H.[Ming-Hsuan],
Extracting Image Regions by Structured Edge Prediction,
WACV15(1060-1067)
IEEE DOI 1503
Databases BibRef

Xu, N., Price, B.L.[Brian L.], Cohen, S.[Scott], Yang, J.[Jimei], Huang, T.,
Deep Interactive Object Selection,
CVPR16(373-381)
IEEE DOI 1612
BibRef

Yang, J.[Jimei], Price, B.L.[Brian L.], Cohen, S.[Scott], Yang, M.H.[Ming-Hsuan],
Context Driven Scene Parsing with Attention to Rare Classes,
CVPR14(3294-3301)
IEEE DOI 1409
Long-Tailed Distribution BibRef

Price, B.L.[Brian L.], Cohen, S.[Scott],
StereoCut: Consistent interactive object selection in stereo image pairs,
ICCV11(1148-1155).
IEEE DOI 1201
BibRef

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 1006
BibRef
And:
Color Adjacency Modeling for Improved Image and Video Segmentation,
ICPR10(2390-2394).
IEEE DOI 1008
BibRef
Earlier:
LIVEcut: Learning-based Interactive Video Segmentation by Evaluation of Multiple Propagated Cues,
ICCV09(779-786).
IEEE DOI 0909
BibRef

Zhang, J.Y.[Ju-Yong], Zheng, J.M.[Jian-Min], Cai, J.F.[Jian-Fei],
A diffusion approach to seeded image segmentation,
CVPR10(2125-2132).
IEEE DOI 1006
BibRef

Gulshan, V.[Varun], Rother, C.[Carsten], Criminisi, A.[Antonio], Blake, A.[Andrew], Zisserman, A.[Andrew],
Geodesic star convexity for interactive image segmentation,
CVPR10(3129-3136).
IEEE DOI 1006
BibRef

Kim, T.H.[Tae Hoon], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
A Unified Probabilistic Approach to Feature Matching and Object Segmentation,
ICPR10(464-467).
IEEE DOI 1008
BibRef

Kim, T.H.[Tae Hoon], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
Nonparametric higher-order learning for interactive segmentation,
CVPR10(3201-3208).
IEEE DOI 1006
BibRef

McCary, B.C.[Brady C.], Cao, Y.[Yan],
Probabilistic interactive segmentation using multiphase level sets,
Southwest10(141-144).
IEEE DOI 1005
BibRef

Windheuser, T.[Thomas], Schoenemann, T.[Thomas], Cremers, D.[Daniel],
Beyond connecting the dots: A polynomial-time algorithm for segmentation and boundary estimation with imprecise user input,
ICCV09(717-722).
IEEE DOI 0909
BibRef

Malmberg, F.[Filip],
Image Foresting Transform: On-the-Fly Computation of Segmentation Boundaries,
SCIA11(616-624).
Springer DOI 1105
BibRef

Malmberg, F.[Filip], Strand, R.[Robin], Nordenskjold, R.[Richard], Kullberg, J.[Joel],
Seeded segmentation based on object homogeneity,
ICPR12(21-24).
WWW Link. 1302
BibRef

Malmberg, F.[Filip], Strand, R.[Robin], Nyström, I.[Ingela],
Generalized Hard Constraints for Graph Segmentation,
SCIA11(36-47).
Springer DOI 1105
BibRef

Malmberg, F.[Filip], Lindblad, J.[Joakim], Nyström, I.[Ingela],
Sub-pixel Segmentation with the Image Foresting Transform,
IWCIA09(201-211).
Springer DOI 0911
Interactive segmentation. minimal paths to seed points. BibRef

Kerautret, B.[Bertrand], Even, P.[Philippe],
Blurred Segments in Gray Level Images for Interactive Line Extraction,
IWCIA09(176-186).
Springer DOI 0911
BibRef

Yang, B.[Bin], Zhao, Q.Y.[Qi-Yang], Zhang, R.[Rui], Yin, B.L.[Bao-Lin],
Receptive Field Based Image Modeling Method for Interactive Segmentation,
CISP09(1-4).
IEEE DOI 0910
BibRef

Liu, C.[Chen], Li, F.X.[Feng-Xia], Zhang, Y.[Yan], Gu, H.Y.[Hai-Yang],
Interactive Image Segmentation Based on Hierarchical Graph-Cut Optimization with Generic Shape Prior,
ICIAR09(201-210).
Springer DOI 0907
BibRef

Zhao, J.Y.[Jie-Yu], Geng, X.W.[Xiao-Wei],
Interactive image segmentation via multi-cue dynamic integration,
ICIP08(3044-3047).
IEEE DOI 0810
BibRef

Fauqueur, J.[Julien], Brostow, G.J.[Gabriel J.], Cipolla, R.[Roberto],
Assisted Video Object Labeling By Joint Tracking of Regions and Keypoints,
ICV07(1-7).
IEEE DOI 0710
BibRef

Garibotto, G.[Giovanni], Garibotto, V.[Valentina],
Edge Tracking of subjective contours in Biomedical Imaging,
CIAP07(737-742).
IEEE DOI 0709
BibRef

Pavlopoulou, C.[Christina], Yu, S.X.[Stella X.],
Boundaries as Contours of Optimal Appearance and Area of Support,
EMMCVPR09(480-491).
Springer DOI 0908
BibRef

Pavlopoulou, C.[Christina], Kak, A.C.[Avi C.],
Globally Optimal Interactive Boundary Extraction Using Markov Chain Modeling,
PercOrg06(187).
IEEE DOI 0609
BibRef

Zou, J.[Jie],
A Model-Based Interactive Object Segmentation Procedure,
WACV05(I: 522-527).
IEEE DOI 0502
BibRef

Vicente, S.[Sara], Kolmogorov, V.[Vladimir], Rother, C.[Carsten],
Cosegmentation Revisited: Models and Optimization,
ECCV10(II: 465-479).
Springer DOI 1009
BibRef

Rother, C.[Carsten], Minka, T.[Tom], Blake, A.[Andrew], Kolmogorov, V.[Vladimir],
Cosegmentation of Image Pairs by Histogram Matching: Incorporating a Global Constraint into MRFs,
CVPR06(I: 993-1000).
IEEE DOI 0606
BibRef

Blake, A.[Andrew], Rother, C.[Carsten], Brown, M., Perez, P.[Patrick], Torr, P.H.S.[Philip H.S.],
Interactive Image Segmentation Using an Adaptive GMMRF Model,
ECCV04(Vol I: 428-441).
Springer DOI 0405
Use a Gaussian Mixture Markov Random Field and pseudolikelihood algorithm which jointly learns the color mixture and coherence parameters for foreground and background. BibRef

Sumengen, B.[Baris], Manjunath, B.S., Kenney, C.S.,
Image segmentation using multi-region stability and edge strength,
ICIP03(III: 429-432).
IEEE DOI 0312
BibRef
Earlier:
Image segmentation using curve evolution and region stability,
ICPR02(II: 965-968).
IEEE DOI 0211
BibRef
And:
Image segmentation using curve evolution and flow fields,
ICIP02(I: 105-108).
IEEE DOI 0210
BibRef

Gérard, O.[Olivier], Deschamps, T.[Thomas], Greff, M.[Myriam], Cohen, L.D.[Laurent D.],
Real-Time Interactive Path Extraction with on-the-Fly Adaptation of the External Forces,
ECCV02(III: 807 ff.).
Springer DOI
PDF File. 0205
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
Interactive 3D Segmentations, Depth, Range, Stereo .


Last update:May 17, 2017 at 14:04:35