{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:16:24Z","timestamp":1772907384090,"version":"3.50.1"},"publisher-location":"Cham","reference-count":38,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030012632","type":"print"},{"value":"9783030012649","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-01264-9_2","type":"book-chapter","created":{"date-parts":[[2018,10,8]],"date-time":"2018-10-08T08:20:53Z","timestamp":1538986853000},"page":"20-36","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Interactive Boundary Prediction for Object Selection"],"prefix":"10.1007","author":[{"given":"Hoang","family":"Le","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Long","family":"Mai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian","family":"Price","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Scott","family":"Cohen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hailin","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,10,9]]},"reference":[{"key":"2_CR1","unstructured":"Abadi, M., et al.: Tensorflow: a system for large-scale machine learning. In: 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16), pp. 265\u2013283 (2016)"},{"issue":"6","key":"2_CR2","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1109\/34.295913","volume":"16","author":"R Adams","year":"1994","unstructured":"Adams, R., Bischof, L.: Seeded region growing. IEEE Trans. Pattern Anal. Mach. Intell. 16(6), 641\u2013647 (1994)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2_CR3","doi-asserted-by":"crossref","unstructured":"Bai, X., Sapiro, G.: A geodesic framework for fast interactive image and video segmentation and matting. In: IEEE International Conference on Computer Vision, pp. 1\u20138 (2007)","DOI":"10.21236\/ADA478319"},{"key":"2_CR4","volume-title":"Pattern Recognition and Machine Learning","author":"CM Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, New York (2006)"},{"issue":"2","key":"2_CR5","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/s11263-006-7934-5","volume":"70","author":"Y Boykov","year":"2006","unstructured":"Boykov, Y., Funka-Lea, G.: Graph cuts and efficient N-D image segmentation. Int. J. Comput. Vis. 70(2), 109\u2013131 (2006)","journal-title":"Int. J. Comput. Vis."},{"key":"2_CR6","volume-title":"The Art and Science of Digital Compositing","author":"R Brinkmann","year":"2008","unstructured":"Brinkmann, R.: The Art and Science of Digital Compositing, 2nd edn. Morgan Kaufmann Publishers Inc., San Francisco (2008)","edition":"2"},{"issue":"6","key":"2_CR7","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1109\/TPAMI.1986.4767851","volume":"8","author":"J Canny","year":"1986","unstructured":"Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. PAMI 8(6), 679\u2013698 (1986)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. PAMI"},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"Castrejon, L., Kundu, K., Urtasun, R., Fidler, S.: Annotating object instances with a polygon-RNN. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 4485\u20134493 (2017)","DOI":"10.1109\/CVPR.2017.477"},{"key":"2_CR9","doi-asserted-by":"crossref","unstructured":"Chen, D., Mirebeau, J.M., Cohen, L.D.: A new Finsler minimal path model with curvature penalization for image segmentation and closed contour detection. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 355\u2013363 (2016)","DOI":"10.1109\/CVPR.2016.45"},{"issue":"3","key":"2_CR10","doi-asserted-by":"publisher","first-page":"458","DOI":"10.1007\/s11263-016-0975-5","volume":"122","author":"D Chen","year":"2017","unstructured":"Chen, D., Mirebeau, J.M., Cohen, L.D.: Global minimum for a finsler elastica minimal path approach. Int. J. Comput. Vis. 122(3), 458\u2013483 (2017)","journal-title":"Int. J. Comput. Vis."},{"key":"2_CR11","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1007\/0-387-28831-7_6","volume-title":"Handbook of Mathematical Models in Computer Vision","author":"L Cohen","year":"2006","unstructured":"Cohen, L.: Minimal paths and fast marching methods for image analysis. In: Paragios, N., Chen, Y., Faugeras, O. (eds.) Handbook of Mathematical Models in Computer Vision, pp. 97\u2013111. Springer, Boston (2006). https:\/\/doi.org\/10.1007\/0-387-28831-7_6"},{"key":"2_CR12","doi-asserted-by":"crossref","unstructured":"Cohen, L.D., Kimmel, R.: Global minimum for active contour models: a minimal path approach. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 666\u2013673 (1996)","DOI":"10.1109\/CVPR.1996.517144"},{"key":"2_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/978-3-540-88682-2_9","volume-title":"Computer Vision \u2013 ECCV 2008","author":"A Criminisi","year":"2008","unstructured":"Criminisi, A., Sharp, T., Blake, A.: GeoS: Geodesic Image Segmentation. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008. LNCS, vol. 5302, pp. 99\u2013112. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-88682-2_9"},{"key":"2_CR14","unstructured":"Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press (2016). http:\/\/www.deeplearningbook.org"},{"key":"2_CR15","doi-asserted-by":"crossref","unstructured":"Gulshan, V., Rother, C., Criminisi, A., Blake, A., Zisserman, A.: Geodesic star convexity for interactive image segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3129\u20133136 (2010)","DOI":"10.1109\/CVPR.2010.5540073"},{"key":"2_CR16","series-title":"SpringerBriefs in Electrical and Computer Engineering","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/978-981-4451-60-4_3","volume-title":"Interactive Segmentation Techniques","author":"J He","year":"2014","unstructured":"He, J., Kim, C.S., Kuo, C.C.J.: Interactive image segmentation techniques. Interactive Segmentation Techniques. SpringerBriefs in Electrical and Computer Engineering, pp. 17\u201362. Springer, Singapore (2014). https:\/\/doi.org\/10.1007\/978-981-4451-60-4_3"},{"key":"2_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1007\/978-3-642-24785-9_22","volume-title":"Scale Space and Variational Methods in Computer Vision","author":"M Jung","year":"2012","unstructured":"Jung, M., Peyr\u00e9, G., Cohen, L.D.: Non-local active contours. In: Bruckstein, A.M., ter Haar Romeny, B.M., Bronstein, A.M., Bronstein, M.M. (eds.) SSVM 2011. LNCS, vol. 6667, pp. 255\u2013266. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-24785-9_22"},{"issue":"4","key":"2_CR18","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1007\/BF00133570","volume":"1","author":"M Kass","year":"1988","unstructured":"Kass, M., Witkin, A., Terzopoulos, D.: Snakes: active contour models. Int. J. Comput. Vis. 1(4), 321\u2013331 (1988)","journal-title":"Int. J. Comput. Vis."},{"key":"2_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1007\/978-3-540-88690-7_20","volume-title":"Computer Vision \u2013 ECCV 2008","author":"TH Kim","year":"2008","unstructured":"Kim, T.H., Lee, K.M., Lee, S.U.: Generative image segmentation using random walks with restart. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008. LNCS, vol. 5304, pp. 264\u2013275. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-88690-7_20"},{"key":"2_CR20","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. CoRR abs\/1412.6980 (2014)"},{"key":"2_CR21","doi-asserted-by":"crossref","unstructured":"Lempitsky, V., Kohli, P., Rother, C., Sharp, T.: Image segmentation with a bounding box prior. In: IEEE International Conference on Computer Vision, pp. 277\u2013284 (2009)","DOI":"10.1109\/ICCV.2009.5459262"},{"issue":"3","key":"2_CR22","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1145\/1015706.1015719","volume":"23","author":"Y Li","year":"2004","unstructured":"Li, Y., Sun, J., Tang, C.K., Shum, H.Y.: Lazy snapping. ACM Trans. Graph. 23(3), 303\u2013308 (2004)","journal-title":"ACM Trans. Graph."},{"key":"2_CR23","doi-asserted-by":"crossref","unstructured":"Liu, Y., Cheng, M.M., Hu, X., Wang, K., Bai, X.: Richer convolutional features for edge detection. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 5872\u20135881 (2017)","DOI":"10.1109\/CVPR.2017.622"},{"issue":"2","key":"2_CR24","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1016\/j.patcog.2009.03.008","volume":"43","author":"K McGuinness","year":"2010","unstructured":"McGuinness, K., O\u2019connor, N.E.: A comparative evaluation of interactive segmentation algorithms. Pattern Recognit. 43(2), 434\u2013444 (2010)","journal-title":"Pattern Recognit."},{"key":"2_CR25","doi-asserted-by":"publisher","DOI":"10.4324\/9780203362006","volume-title":"Visual Alchemy: The Fine Art of Digital Montage","author":"C McIntyre","year":"2014","unstructured":"McIntyre, C.: Visual Alchemy: The Fine Art of Digital Montage. Taylor & Francis, New York (2014)"},{"issue":"1","key":"2_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11263-014-0751-3","volume":"112","author":"J Mille","year":"2015","unstructured":"Mille, J., Bougleux, S., Cohen, L.D.: Combination of piecewise-geodesic paths for interactive segmentation. Int. J. Comput. Vis. 112(1), 1\u201322 (2015)","journal-title":"Int. J. Comput. Vis."},{"issue":"6","key":"2_CR27","doi-asserted-by":"publisher","first-page":"784","DOI":"10.1007\/s10851-017-0778-5","volume":"60","author":"JM Mirebeau","year":"2017","unstructured":"Mirebeau, J.M.: Fast-marching methods for curvature penalized shortest paths. J. Math. Imaging Vis. 60(6), 784\u2013815 (2017)","journal-title":"J. Math. Imaging Vis."},{"key":"2_CR28","doi-asserted-by":"crossref","unstructured":"Mortensen, E.N., Barrett, W.A.: Intelligent scissors for image composition. In: Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 1995, pp. 191\u2013198. ACM, New York (1995)","DOI":"10.1145\/218380.218442"},{"key":"2_CR29","doi-asserted-by":"crossref","unstructured":"Perazzi, F., Pont-Tuset, J., McWilliams, B., Van Gool, L., Gross, M., Sorkine-Hornung, A.: A benchmark dataset and evaluation methodology for video object segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 724\u2013732 (2016)","DOI":"10.1109\/CVPR.2016.85"},{"issue":"3","key":"2_CR30","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1145\/1015706.1015720","volume":"23","author":"C Rother","year":"2004","unstructured":"Rother, C., Kolmogorov, V., Blake, A.: GrabCut: interactive foreground extraction using iterated graph cuts. ACM Trans. Graph. 23(3), 309\u2013314 (2004)","journal-title":"ACM Trans. Graph."},{"key":"2_CR31","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1007\/978-3-642-19315-6_31","volume-title":"Computer Vision \u2013 ACCV 2010","author":"J Santner","year":"2011","unstructured":"Santner, J., Pock, T., Bischof, H.: Interactive multi-label segmentation. In: Kimmel, R., Klette, R., Sugimoto, A. (eds.) ACCV 2010. LNCS, vol. 6492, pp. 397\u2013410. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-19315-6_31"},{"issue":"12","key":"2_CR32","doi-asserted-by":"publisher","first-page":"2588","DOI":"10.1109\/TPAMI.2015.2409869","volume":"37","author":"J Ulen","year":"2015","unstructured":"Ulen, J., Strandmark, P., Kahl, F.: Shortest paths with higher-order regularization. IEEE Trans. Pattern Anal. Mach. Intell. 37(12), 2588\u20132600 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2_CR33","unstructured":"Whalley, R.: Photoshop Layers: Professional Strength Image Editing: Lenscraft Photography (2015)"},{"key":"2_CR34","doi-asserted-by":"crossref","unstructured":"Wu, J., Zhao, Y., Zhu, J., Luo, S., Tu, Z.: MILCut: a sweeping line multiple instance learning paradigm for interactive image segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 256\u2013263 (2014)","DOI":"10.1109\/CVPR.2014.40"},{"key":"2_CR35","doi-asserted-by":"crossref","unstructured":"Xie, S., Tu, Z.: Holistically-nested edge detection. In: IEEE International Conference on Computer Vision, pp. 1395\u20131403 (2015)","DOI":"10.1109\/ICCV.2015.164"},{"key":"2_CR36","doi-asserted-by":"crossref","unstructured":"Xu, N., Price, B., Cohen, S., Yang, J., Huang, T.S.: Deep interactive object selection. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 373\u2013381 (2016)","DOI":"10.1109\/CVPR.2016.47"},{"key":"2_CR37","doi-asserted-by":"crossref","unstructured":"Xu, N., Price, B.L., Cohen, S., Yang, J., Huang, T.S.: Deep grabcut for object selection. In: British Machine Vision Conference (2017)","DOI":"10.5244\/C.31.182"},{"key":"2_CR38","doi-asserted-by":"crossref","unstructured":"Yang, J., Price, B., Cohen, S., Lee, H., Yang, M.H.: Object contour detection with a fully convolutional encoder-decoder network. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 193\u2013202 (2016)","DOI":"10.1109\/CVPR.2016.28"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01264-9_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,8]],"date-time":"2022-10-08T00:45:34Z","timestamp":1665189934000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-01264-9_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030012632","9783030012649"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01264-9_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"9 October 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}