8.7.1.5 Geodesic Active Contours

Chapter Contents (Back)
Snakes. Geodesic Active Contours. Minimal path or geodesic methods.

Sapiro, G.[Guillermo],
Color Snakes,
CVIU(68), No. 2, November 1997, pp. 247-253.
DOI Link 9712
BibRef
Earlier:
Vector (Self) Snakes: Vector (self) snakes: A Geometric framework for Color, Texture and Multiscale Image Segmentation,
ICIP96(I: 817-820).
IEEE DOI 9610
BibRef

Caselles, V.[Vicent], Catté, F., Coll, T., and Dibos, F.,
A Geometric Model for Active Contours in Image Processing,
NumMath(66), 1993, pp. 1-31. BibRef 9300

Caselles, V.,
Geometric models for active contours,
ICIP95(III: 9-12).
IEEE DOI 9510
BibRef

Caselles, V.[Vicent], Kimmel, R.[Ron], Sapiro, G.[Guillermo],
Geodesic Active Contours,
IJCV(22), No. 1, February 1997, pp. 61-79.
DOI Link BibRef 9702
Earlier: ICCV95(694-699).
IEEE DOI Geodesic -- geometric formulation, not energy approach. BibRef

Caselles, V.[Vicent], Facciolo, G.[Gabriele], Meinhardt, E.[Enric],
Anisotropic Cheeger Sets And Applications,
SIIMS(2), No. 4, 2009, pp. 1211-1254.
DOI Link 1002
Cheeger sets; anisotropic total variation; active contours; edge linking BibRef

Goldenberg, R.[Roman], Kimmel, R.[Ron], Rivlin, E.[Ehud], Rudzsky, M.[Michael],
Fast geodesic active contours,
IP(10), No. 10, October 2001, pp. 1467-1475.
IEEE DOI 0110
BibRef
Earlier: ScaleSpace99(34-45). BibRef

Sapiro, G.[Guillermo],
Vector-Valued Active Contours,
CVPR96(680-685).
IEEE DOI BibRef 9600

Sapiro, G.[Guillermo],
From Active Contours to Anisotropic Diffusion: Connections Between Basic PDE's in Image Processing,
ICIP96(I: 477-480).
IEEE DOI BibRef 9600

Aubert, G.[Gilles], Blanc-Féraud, L.[Laure],
Some Remarks on the Equivalence between 2D and 3D Classical Snakes and Geodesic Active Contours,
IJCV(34), No. 1, September-October 1999, pp. 19-28.
DOI Link BibRef 9909

Paragios, N.[Nikos], Deriche, R.[Rachid],
Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects,
PAMI(22), No. 3, March 2000, pp. 266-280.
IEEE DOI 0005
BibRef
And: Corrections: PAMI(22), No. 4, April 2000, pp. 415.
IEEE DOI BibRef
Earlier:
Geodesic Active Regions for Motion Estimation and Tracking,
ICCV99(688-694).
IEEE DOI
PS File. BibRef
And: INRIA--RR-3631, 1999.
HTML Version. See also Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation. BibRef

Paragios, N.[Nikos], Deriche, R.[Rachid],
Geodesic active regions and level set methods for motion estimation and tracking,
CVIU(97), No. 3, March 2005, pp. 259-282.
WWW Link. 0412
BibRef

Paragios, N.[Nikos],
Geodesic Active Regions and Level Set Methods: Contributions and Applications in Artificial Vision,
Ph.D.thesis, January 2000. School of Computer Engineering of University of Nice / Sophia Antipolis.
PS File. BibRef 0001

Paragios, N., and Deriche, R.,
Detecting Multiple Moving Targets Using Deformable Contours,
ICIP97(II: 183-186).
IEEE DOI
PS File. BibRef 9700

Paragios, N.[Nikos], Deriche, R.[Rachid],
Unifying Boundary and Region-based Information for Geodesic Active Tracking,
CVPR99(II: 300-305).
IEEE DOI
PS File. BibRef 9900

Paragios, N.[Nikolaos], and Deriche, R.[Rachid],
A PDE-Based Level-Set Approach for Detection and Tracking of Moving Objects,
ICCV98(1139-1145).
IEEE DOI
PS File. BibRef 9800

Paragios, N.[Nikos], Deriche, R.[Rachid],
Geodesic Active Regions: A New Framework to Deal with Frame Partition Problems in Computer Vision,
JVCIR(13), No. 1/2, March/June 2002, pp. 249-268.
DOI Link 0204
Active contours and level sets. BibRef

Deriche, R., Bouvin, S.[Stephane], Faugeras, O.D.,
Front Propagation and Level-Set Approach for Geodesic Active Stereovision,
ACCV98(xx-yy).
PS File. BibRef 9800
And: VS98(Image Processing for Visual Surveillance).
PS File. BibRef

Paragios, N.[Nikos], Mellina-Gotardo, O.[Olivier], Ramesh, V.[Visvanathan],
Gradient Vector Flow Fast Geodesic Active Contours,
PAMI(26), No. 3, March 2004, pp. 402-407.
IEEE Abstract. 0402
BibRef
Earlier: ICCV01(I: 67-73).
IEEE DOI 0106
BibRef

Paragios, N.[Nikos], Deriche, R.[Rachid],
Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation,
IJCV(46), No. 3, February-March 2002, pp. 223-247.
DOI Link 0202
See also Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects. Combine level set method with active contours. BibRef

Paragios, N., Deriche, R.,
Geodesic Active Regions for Supervised Texture Segmentation,
ICCV99(926-932).
IEEE DOI
PS File. BibRef 9900
And:
Geodesic Active Regions for Texture Segmentation,
INRIA--RR-3440, 1998.
HTML Version. BibRef
Earlier:
Geodesic Active Contours for Supervised Texture Segmentation,
CVPR99(II: 422-427).
IEEE DOI
PS File. BibRef

Paragios, N., Deriche, R.,
Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach,
ECCV00(II: 224-240).
Springer DOI 0003
BibRef

Appleton, B.[Ben], Talbot, H.[Hugues],
Globally Optimal Geodesic Active Contours,
JMIV(23), No. 1, July 2005, pp. 67-86.
Springer DOI 0505
BibRef

Appleton, B.[Ben], Talbot, H.[Hugues],
Efficient and Consistent Recursive Filtering of Images with Reflective Extension,
ScaleSpace03(699-712).
Springer DOI 0310
BibRef

Appleton, B.[Ben], Talbot, H.[Hugues],
Globally Minimal Surfaces by Continuous Maximal Flows,
PAMI(28), No. 1, January 2006, pp. 106-118.
IEEE DOI 0512
BibRef

Pujol, O.[Oriol], Gil, D.[Debora], Radeva, P.I.[Petia I.],
Fundamentals of Stop and Go active models,
IVC(23), No. 8, 1 August 2005, pp. 681-691.
WWW Link. 0508
Snake formulation. decouples regularity and convergence BibRef

Pujol, O.[Oriol], Radeva, P.I.[Petia I.],
Texture Segmentation By Statistical Deformable Models,
IJIG(4), No. 3, July 2004, pp. 433-452. 0407
BibRef

Niethammer, M.[Marc], Vela, P.A.[Patricio A.], Tannenbaum, A.[Allen],
On the Evolution of Vector Distance Functions of Closed Curves,
IJCV(65), No. 1-2, November 2005, pp. 5-27.
Springer DOI 0604
BibRef

Niethammer, M.[Marc], Vela, P.A.[Patricio A.], Tannenbaum, A.[Allen],
Geometric Observers for Dynamically Evolving Curves,
PAMI(30), No. 6, June 2008, pp. 1093-1108.
IEEE DOI 0804
Visual tracking based on non-parametric implicit, level-set, curve descriptions. Interpolation and filtering with correspondence. BibRef

Niethammer, M., Tannenbaum, A.,
Dynamic geodesic snakes for visual tracking,
CVPR04(I: 660-667).
IEEE DOI 0408
BibRef

Dambreville, S.[Samuel], Sandhu, R.[Romeil], Yezzi, A.J.[Anthony J.], Tannenbaum, A.[Allen],
A Geometric Approach To Joint 2d Region-Based Segmentation and 3D Pose Estimation Using A 3d Shape Prior,
SIIMS(3), No. 1, 2010, pp. 110-132. region-based segmentation and tracking; three-dimensional pose estimation; three-dimensional shape prior; variational methods; differential geometry
DOI Link BibRef 1000
Earlier:
Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior,
ECCV08(II: 169-182).
Springer DOI 0810
Active contour related. BibRef

Dambreville, S., Tannenbaum, A., Yezzi, A.J., Niethammer, M.,
A variational framework combining level-sets and thresholding.,
BMVC07(xx-yy).
PDF File. 0709
BibRef

Melonakos, J.[John], Pichon, E.[Eric], Angenent, S.[Sigurd], Tannenbaum, A.[Allen],
Finsler Active Contours,
PAMI(30), No. 3, March 2008, pp. 412-423.
IEEE DOI 0801
Augmenting the conformal (or geodesic) active contour framework with directional information. Apply to road extraction. BibRef

Mohan, V., Melonakos, J., Niethammer, M., Kubicki, M., Tannenbaum, A.,
Finsler Level Set Segmentation for Imagery in Oriented Domains,
BMVC07(xx-yy).
PDF File. 0709
See also Locally-Constrained Region-Based Methods for DW-MRI Segmentation. BibRef

Chen, L.[Li], Zhou, Y.[Yue], Wang, Y.G.[Yong-Gang], Yang, J.[Jie],
GACV: Geodesic-Aided C-V method,
PR(39), No. 7, July 2006, pp. 1391-1395.
WWW Link. Deformable model; Active contour; C-V method; Geodesic active contours 0606
BibRef
Earlier: A1, A2, A3, Only:
A Novel Color C-V Method and Its Application,
ICIAR05(40-47).
Springer DOI 0509
Chan and Vese See also Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model, A. BibRef

Sagiv, C., Sochen, N.A., Zeevi, Y.Y.,
Integrated Active Contours for Texture Segmentation,
IP(15), No. 6, June 2006, pp. 1633-1646.
IEEE DOI 0606
BibRef
Earlier:
Geodesic active contours applied to texture feature space,
ScaleSpace01(xx-yy). 0106
BibRef

Papandreou, G., Maragos, P.,
Multigrid Geometric Active Contour Models,
IP(16), No. 1, January 2007, pp. 229-240.
IEEE DOI 0701
BibRef
Earlier:
A fast multigrid implicit algorithm for the evolution of geodesic active contours,
CVPR04(II: 689-694).
IEEE DOI 0408
BibRef

Pi, L.[Ling], Fan, J.S.[Jin-Song], Shen, C.M.[Chao-Min],
Color Image Segmentation for Objects of Interest with Modified Geodesic Active Contour Method,
JMIV(27), No. 1, January 2007, pp. 51-57.
Springer DOI 0702
BibRef

Pi, L.[Ling], Shen, C.M.[Chao-Min], Li, F.[Fang], Fan, J.S.[Jin-Song],
A variational formulation for segmenting desired objects in color images,
IVC(25), No. 9, 1 September 2007, pp. 1414-1421.
WWW Link. 0707
Active contours; Chan-Vese model; Desired objects; Discrimination function See also Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model, A. BibRef

Fang, W.[Wen], Chan, K.L.[Kap Luk],
Incorporating shape prior into geodesic active contours for detecting partially occluded object,
PR(40), No. 8, August 2007, pp. 2163-2172.
WWW Link. 0704
BibRef
Earlier:
Learning a New Statistical Shape Prior Model for Object Detection by Geodesic Active Contours,
AVSBS06(42-42).
IEEE DOI 0611
BibRef
And:
Using Statistical Shape Priors in Geodesic Active Contours for Robust Object Detection,
ICPR06(II: 304-307).
IEEE DOI 0609
Geodesic active contours; Shape prior; Object detection BibRef

Wang, J.Y.[Jun-Yan], Chan, K.L.[Kap Luk],
Incorporating Patch Subspace Model in Mumford-Shah Type Active Contours,
IP(22), No. 11, 2013, pp. 4473-4485.
IEEE DOI 1310
convergence BibRef

Wang, J.Y.[Jun-Yan], Chan, K.L.[Kap Luk],
Active Contour with a Tangential Component,
JMIV(51), No. 2, February 2015, pp. 229-247.
WWW Link. 1503
BibRef

Wang, J.Y.[Jun-Yan], Yeung, S.K.[Sai-Kit], Chan, K.L.[Kap Luk],
Matching-constrained active contours with affine-invariant shape prior,
CVIU(132), No. 1, 2015, pp. 39-55.
Elsevier DOI 1502
Automatic object segmentation BibRef

Hua, C.[Cui], Gao, L.Q.[Li-Qun],
Geodesic active contour, inertia and initial speed,
PRL(29), No. 16, 1 December 2008, pp. 2197-2205.
WWW Link. 0811
Image segmentation; Geodesic active contours; Gradient vector flow; Inertia force field; Initial speed BibRef

Mio, W.[Washington], Bowers, J.C.[John C.], Liu, X.W.[Xiu-Wen],
Shape of Elastic Strings in Euclidean Space,
IJCV(82), No. 1, April 2009, pp. xx-yy.
Springer DOI 0902
BibRef

Zheng, Y.[Ying], Li, G.Y.[Guang-Yao], Sun, X.H.[Xie-Hua], Zhou, X.M.[Xin-Min],
Geometric active contours without re-initialization for image segmentation,
PR(42), No. 9, September 2009, pp. 1970-1976.
Elsevier DOI 0905
Geometric active contours; GACV model; Cumani operator; Image segmentation BibRef

Zheng, Y.[Ying], Li, G.Y.[Guang-Yao], Sun, X.H.[Xie-Hua], Zhou, X.M.[Xin-Min],
A geometric active contour model without re-initialization for color images,
IVC(27), No. 9, 3 August 2009, pp. 1411-1417.
Elsevier DOI 0906
Squared local contrast; Deviation penalization term; The GACV model; Geometric active contour BibRef

Bunyak, F.[Filiz], Palaniappan, K.[Kannappan],
Efficient segmentation using feature-based graph partitioning active contours,
ICCV09(873-880).
IEEE DOI 0909
BibRef

Nath, S.K.[Sumit K.], Palaniappan, K.[Kannappan],
Fast Graph Partitioning Active Contours for Image Segmentation Using Histograms,
JIVP(2009), No. 2009, pp. xx-yy.
DOI Link 1002
BibRef
Earlier:
Adaptive Robust Structure Tensors for Orientation Estimation and Image Segmentation,
ISVC05(445-453).
Springer DOI 0512
BibRef

Bunyak, F., Palaniappan, K.[Kannappan], Nath, S.K.[Sumit K.], Seetharaman, G.,
Geodesic Active Contour Based Fusion of Visible and Infrared Video for Persistent Object Tracking,
WACV07(35-35).
IEEE DOI 0702
BibRef

Nath, S.K.[Sumit K.], Palaniappan, K.[Kannappan], Bunyak, F.[Filiz],
Accurate Spatial Neighborhood Relationships for Arbitrarily-Shaped Objects Using Hamilton-Jacobi GVD,
SCIA07(421-431).
Springer DOI 0706
BibRef

Shan, H.[Hao], Ma, J.W.[Jian-Wei],
Curvelet-based geodesic snakes for image segmentation with multiple objects,
PRL(31), No. 5, 1 April 2010, pp. 355-360.
Elsevier DOI 1002
Curvelets; Geometric snakes; Geodesic active contours; Image segmentation; Multiscale; Wavelets BibRef

Zhang, H.Z.[Huai-Zhong], Morrow, P.J.[Philip J.], McClean, S.[Sally], Saetzler, K.[Kurt],
A stability approach to convergence of curve evolution methods,
PRL(31), No. 13, 1 October 2010, pp. 1909-1918.
Elsevier DOI 1003
BibRef
Earlier:
Incorporating Feature Based Priors into the Geodesic Active Contour Model and its Application in Biomedical Imagery,
IMVIP07(67-74).
IEEE DOI 0709
Active contours; Curve evolution; Termination criterion; Energy functional Improves Geodesic Active Contour by using user information. BibRef

Zhang, H.Z.[Huai-Zhong], Morrow, P.J.[Philip J.], McClean, S.[Sally], Saetzler, K.[Kurt],
Coupling edge and region-based information for boundary finding in biomedical imagery,
PR(45), No. 2, February 2012, pp. 672-684.
Elsevier DOI 1110
Curve evolution; Boundary finding; Prior model; GAC; Multivariate model BibRef

Gai, J.D.[Jia-Ding], Stevenson, R.L.[Robert L.],
Robust contour tracking based on a coupling between geodesic active contours and conditional random fields,
JVCIR(22), No. 1, January 2011, pp. 33-47.
Elsevier DOI 1101
BibRef
Earlier:
Contour tracking based on a synergistic approach of geodesic active contours and conditional random fields,
ICIP10(2801-2804).
IEEE DOI 1009
Contour tracking; 3D conditional random field; Geodesic active contours; Level set methods; Variational inference; Belief propagation; Motion detection; Markov random field BibRef

Tao, W.B.[Wen-Bing], Tai, X.C.[Xue-Cheng],
Multiple piecewise constant with geodesic active contours (MPC-GAC) framework for interactive image segmentation using graph cut optimization,
IVC(29), No. 8, July 2011, pp. 499-508.
Elsevier DOI 1108
Multiple piecewise constant; Active contour without edges; Geodesic active contour; Graph cuts; Image segmentation; Level set BibRef

Shan, H.[Hao], He, C.[Changtao], Wang, N.[Na],
MCA aided geodesic active contours for image segmentation with textures,
PRL(45), No. 1, 2014, pp. 235-243.
Elsevier DOI 1407
Morphological component analysis diversity BibRef

Peyré, G.[Gabriel], Péchaud, M.[Mickael], Keriven, R.[Renaud], Cohen, L.D.[Laurent D.],
Geodesic Methods in Computer Vision and Graphics,
FTCGV(5), Issue 3-4, 2009, pp. 197-397.
DOI Link 1410
Published December 2010. BibRef

Yang, F.[Fang], Cohen, L.D.[Laurent D.],
Geodesic Distance and Curves Through Isotropic and Anisotropic Heat Equations on Images and Surfaces,
JMIV(55), No. 2, June 2016, pp. 210-228.
WWW Link. 1604
BibRef

Chen, D.[Da], Mirebeau, J.M.[Jean-Marie], Cohen, L.D.[Laurent D.],
A New Finsler Minimal Path Model with Curvature Penalization for Image Segmentation and Closed Contour Detection,
CVPR16(355-363)
IEEE DOI 1612
BibRef
Earlier:
Global Minimum for Curvature Penalized Minimal Path Method,
BMVC15(xx-yy).
DOI Link 1601
Minimal path or geodesic methods. BibRef

Schenk, F.[Fabian], Aichinger, P.[Philipp], Roesner, I.[Imme], Urschler, M.[Martin],
Automatic high-speed video glottis segmentation using salient regions and 3D geodesic active contours,
BMVA(2015), No. 3, 2015, pp. 1-15.
PDF File. 1509
BibRef

Bekkers, E.J., Duits, R., Mashtakov, A., Sanguinetti, G.R.,
A PDE Approach to Data-Driven Sub-Riemannian Geodesics in SE(2),
SIIMS(8), No. 4, 2015, pp. 2740-2770.
DOI Link 1601
BibRef
Earlier:
Data-Driven Sub-Riemannian Geodesics in SE(2),
SSVM15(613-625).
Springer DOI 1506
BibRef

Singh, N.[Nikhil], Hinkle, J.[Jacob], Joshi, S.[Sarang], Fletcher, P.T.[P. Thomas],
Hierarchical Geodesic Models in Diffeomorphisms,
IJCV(117), No. 1, March 2016, pp. 70-92.
Springer DOI 1604
BibRef

Nardi, G.[Giacomo], Peyré, G.[Gabriel], Vialard, F.X.[François-Xavier],
Geodesics on Shape Spaces with Bounded Variation and Sobolev Metrics,
SIIMS(9), No. 1, 2016, pp. 238-274.
DOI Link 1604
BibRef

Haltakov, V.[Vladimir], Unger, C.[Christian], Ilic, S.[Slobodan],
Geodesic pixel neighborhoods for 2D and 3D scene understanding,
CVIU(148), No. 1, 2016, pp. 164-180.
Elsevier DOI 1606
BibRef
Earlier:
Geodesic pixel neighborhoods for multi-class image segmentation,
BMVC14(xx-yy).
HTML Version. 1410
Semantic segmentation BibRef


Chihaoui, M., Elkefi, A., Bellil, W., Amar, C.B.,
Detection and Tracking of the Moving Objects in a Video Sequence by Geodesic Active Contour,
CGiV16(212-215)
IEEE DOI 1608
computer vision BibRef

Rahmoun, S.[Somia], Mairesse, F.[Fabrice], Uji-i, H.[Hiroshi], Hofkens, J.[Johan], Sliwa, T.[Tadeusz],
Curve Extraction by Geodesics Fusion: Application to Polymer Reptation Analysis,
ICISP16(79-88).
WWW Link. 1606
BibRef

Feragen, A.[Aasa], Lauze, F.[Francois], Hauberg, S.[Soren],
Geodesic exponential kernels: When curvature and linearity conflict,
CVPR15(3032-3042)
IEEE DOI 1510
BibRef

Willot, F.[François],
The Power Laws of Geodesics in Some Random Sets with Dilute Concentration of Inclusions,
ISMM15(535-546).
Springer DOI 1506
BibRef

Gallego, G., Ronda, J.I., Valdes, A.,
Directional geodesic active contours,
ICIP12(2561-2564).
IEEE DOI 1302
BibRef

Wang, J.Q.[Jun-Qiu], Yagi, Y.S.[Yasu-Shi],
Shape Prior Embedded Geodesic Distance Transform for Image Segmentation,
CVMAR10(72-81).
Springer DOI 1109
BibRef

Al Sharif, S.M.S.[Sharif M. S.], Deriche, M.[Mohamed], Maalej, N.[Nabil],
A fast Geodesic Active Contour model for medical images segmentation using prior analysis,
IPTA10(300-305).
IEEE DOI 1007
BibRef

Mille, J.[Julien], Cohen, L.D.[Laurent D.],
Geodesically Linked Active Contours: Evolution Strategy Based on Minimal Paths,
SSVM09(163-174).
Springer DOI 0906
See also Narrow band region-based active contours and surfaces for 2D and 3D segmentation. BibRef

Criminisi, A.[Antonio], Sharp, T.[Toby], Blake, A.[Andrew],
GeoS: Geodesic Image Segmentation,
ECCV08(I: 99-112).
Springer DOI 0810
BibRef

Ben-Ari, R.[Rami], Aiger, D.[Dror],
Geodesic Active Contours with Combined Shape and Appearance Priors,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Bunyak, F.[Filiz], Palaniappan, K.[Kannappan],
Level Set-Based Fast Multi-phase Graph Partitioning Active Contours Using Constant Memory,
ACIVS09(145-155).
Springer DOI 0909
BibRef

Hafiane, A.[Adel], Bunyak, F.[Filiz], Palaniappan, K.[Kannappan],
Fuzzy Clustering and Active Contours for Histopathology Image Segmentation and Nuclei Detection,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

McHenry, K.[Kenton], Ponce, J.[Jean], Normale, E.[Ecole],
A Geodesic Active Contour Framework for Finding Glass,
CVPR06(I: 1038-1044).
IEEE DOI 0606
BibRef

Wang, X.[Xun], He, L.[Lei], Wee, W.G.,
Constrained optimization: a geodesic snake approach,
ICIP02(II: 77-80).
IEEE DOI 0210
BibRef

Handzel, A., Flash, T.,
Affine Invariant Edge Completion with Affine Geodesics,
LevelSet01(xx-yy). 0106
BibRef

Leventon, M.E.[Michael E.], Grimson, W.E.L.[W. Eric L.], Faugeras, O.D.[Olivier D.],
Statistical Shape Influence in Geodesic Active Contours,
CVPR00(I: 316-323).
IEEE DOI 0005
Award, CVPR, Student. BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Snakes, Applications .


Last update:Sep 18, 2017 at 11:34:11