{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T20:57:16Z","timestamp":1743022636711,"version":"3.40.3"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319494081"},{"type":"electronic","value":"9783319494098"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-49409-8_64","type":"book-chapter","created":{"date-parts":[[2020,10,9]],"date-time":"2020-10-09T23:14:24Z","timestamp":1602285264000},"page":"773-788","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Improved Image Boundaries for Better Video Segmentation"],"prefix":"10.1007","author":[{"given":"Anna","family":"Khoreva","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rodrigo","family":"Benenson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabio","family":"Galasso","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthias","family":"Hein","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bernt","family":"Schiele","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,11,24]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., Suesstrunk, S.: Slic superpixels compared to state-of-the-art superpixel methods. In: TPAMI (2012)","key":"64_CR1","DOI":"10.1109\/TPAMI.2012.120"},{"doi-asserted-by":"crossref","unstructured":"Arbel\u00e1ez, P., Maire, M., Fowlkes, C.C., Malik, J.: Contour detection and hierarchical image segmentation. In: TPAMI (2011)","key":"64_CR2","DOI":"10.1109\/TPAMI.2010.161"},{"doi-asserted-by":"crossref","unstructured":"Badrinarayanan, V., Budvytis, I., Cipolla, R.: Mixture of trees probabilistic graphical model for video segmentation. In: IJCV (2013)","key":"64_CR3","DOI":"10.1007\/s11263-013-0673-5"},{"doi-asserted-by":"crossref","unstructured":"Bergh, M.V.D., Roig, G., Boix, X., Manen, S., Gool, L.V.: Online video seeds for temporal window objectness. In: ICCV (2013)","key":"64_CR4","DOI":"10.1109\/ICCV.2013.54"},{"doi-asserted-by":"crossref","unstructured":"Bertasius, G., Shi, J., Torresani, L.: Deepedge: a multi-scale bifurcated deep network for top-down contour detection. In: CVPR (2015)","key":"64_CR5","DOI":"10.1109\/CVPR.2015.7299067"},{"key":"64_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1007\/978-3-642-15555-0_21","volume-title":"Computer Vision \u2013 ECCV 2010","author":"T Brox","year":"2010","unstructured":"Brox, T., Malik, J.: Object segmentation by long term analysis of point trajectories. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6315, pp. 282\u2013295. Springer, Heidelberg (2010). doi:\n                      10.1007\/978-3-642-15555-0_21"},{"doi-asserted-by":"crossref","unstructured":"Chang, J., Wei, D., Fisher, J.W.: A video representation using temporal superpixels. In: CVPR (2013)","key":"64_CR7","DOI":"10.1109\/CVPR.2013.267"},{"doi-asserted-by":"crossref","unstructured":"Cheng, H.-T., Ahuja, N.: Exploiting nonlocal spatiotemporal structure for video segmentation. In: CVPR (2012)","key":"64_CR8","DOI":"10.1109\/CVPR.2012.6247744"},{"doi-asserted-by":"crossref","unstructured":"Dai, J., He, K., Sun, J.: Convolutional feature masking for joint object, stuff segmentation. \n                      arXiv: 1412.1283\n                      \n                     (2014)","key":"64_CR9","DOI":"10.1109\/CVPR.2015.7299025"},{"doi-asserted-by":"crossref","unstructured":"Doll\u00e1r, P., Zitnick, C.L.: Fast edge detection using structured forests. In: TPAMI (2015)","key":"64_CR10","DOI":"10.1109\/TPAMI.2014.2377715"},{"doi-asserted-by":"crossref","unstructured":"Fragkiadaki, K., Arbelaez, P., Felsen, P., Malik, J.: Learning to segment moving objects in videos. In: CVPR (2015)","key":"64_CR11","DOI":"10.1109\/CVPR.2015.7299035"},{"doi-asserted-by":"crossref","unstructured":"Fragkiadaki, K., Shi, J.: Video segmentation by tracing discontinuities in a trajectory embedding. In: CVPR (2012)","key":"64_CR12","DOI":"10.1109\/CVPR.2012.6247883"},{"key":"64_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"760","DOI":"10.1007\/978-3-642-37331-2_57","volume-title":"Computer Vision \u2013 ACCV 2012","author":"F Galasso","year":"2013","unstructured":"Galasso, F., Cipolla, R., Schiele, B.: Video segmentation with superpixels. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds.) ACCV 2012. LNCS, vol. 7724, pp. 760\u2013774. Springer, Heidelberg (2013). doi:\n                      10.1007\/978-3-642-37331-2_57"},{"doi-asserted-by":"crossref","unstructured":"Galasso, F., Keuper, M., Brox, T., Schiele, B.: Spectral graph reduction for efficient image and streaming video segmentation. In: CVPR (2014)","key":"64_CR14","DOI":"10.1109\/CVPR.2014.14"},{"doi-asserted-by":"crossref","unstructured":"Galasso, F., Nagaraja, N.S., Cardenas, T.Z., Brox, T., Schiele, B.: A unified video segmentation benchmark: annotation, metrics and analysis. In: ICCV (2013)","key":"64_CR15","DOI":"10.1109\/ICCV.2013.438"},{"doi-asserted-by":"crossref","unstructured":"Grundmann, M., Kwatra, V., Han, M., Essa, I.: Efficient hierarchical graph-based video segmentation. In: CVPR (2010)","key":"64_CR16","DOI":"10.1109\/CVPR.2010.5539893"},{"doi-asserted-by":"crossref","unstructured":"Hallman, S., Fowlkes, C.: Oriented edge forests for boundary detection. In: CVPR (2015)","key":"64_CR17","DOI":"10.1109\/CVPR.2015.7298782"},{"doi-asserted-by":"crossref","unstructured":"Humayun, A., Li, F., Rehg, J.M.: Rigor: recycling inference in graph cuts for generating object regions. In: CVPR (2014)","key":"64_CR18","DOI":"10.1109\/CVPR.2014.50"},{"doi-asserted-by":"crossref","unstructured":"Humayun, A., Li, F., Rehg, J.M.: The middle child problem: revisiting parametric min-cut and seeds for object proposals. In: ICCV (2015)","key":"64_CR19","DOI":"10.1109\/ICCV.2015.187"},{"key":"64_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"799","DOI":"10.1007\/978-3-319-10578-9_52","volume-title":"Computer Vision \u2013 ECCV 2014","author":"P Isola","year":"2014","unstructured":"Isola, P., Zoran, D., Krishnan, D., Adelson, E.H.: Crisp boundary detection using pointwise mutual information. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8691, pp. 799\u2013814. Springer, Heidelberg (2014). doi:\n                      10.1007\/978-3-319-10578-9_52"},{"doi-asserted-by":"crossref","unstructured":"Jain, A., Chatterjee, S., Vidal, R.: Coarse-to-fine semantic video segmentation using supervoxel trees. In: ICCV (2013)","key":"64_CR21","DOI":"10.1109\/ICCV.2013.234"},{"key":"64_CR22","first-page":"789","volume-title":"Lecture Notes in Computer Science","author":"Margret Keuper","year":"2016","unstructured":"Keuper, M., Brox, T.: Point-wise mutual information-based video segmentation with high temporal consistency. \n                      arXiv:1606.02467\n                      \n                     (2016)"},{"key":"64_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1007\/978-3-319-11752-2_58","volume-title":"Pattern Recognition","author":"A Khoreva","year":"2014","unstructured":"Khoreva, A., Galasso, F., Hein, M., Schiele, B.: Learning must-link constraints for video segmentation based on spectral clustering. In: Jiang, X., Hornegger, J., Koch, R. (eds.) GCPR 2014. LNCS, vol. 8753, pp. 701\u2013712. Springer, Heidelberg (2014). doi:\n                      10.1007\/978-3-319-11752-2_58"},{"doi-asserted-by":"crossref","unstructured":"Khoreva, A., Galasso, F., Hein, M., Schiele, B.: Classifier based graph construction for video segmentation. In: CVPR (2015)","key":"64_CR24","DOI":"10.1109\/CVPR.2015.7298697"},{"key":"64_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"725","DOI":"10.1007\/978-3-319-10602-1_47","volume-title":"Computer Vision \u2013 ECCV 2014","author":"P Kr\u00e4henb\u00fchl","year":"2014","unstructured":"Kr\u00e4henb\u00fchl, P., Koltun, V.: Geodesic object proposals. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 725\u2013739. Springer, Heidelberg (2014). doi:\n                      10.1007\/978-3-319-10602-1_47"},{"doi-asserted-by":"crossref","unstructured":"Levinshtein, A., Stere, A., Kutulakos, K.N., Fleet, D.J., Dickinson, S.J., Siddiqi, K.: Turbopixels: fast superpixels using geometric flows. In: TPAMI (2009)","key":"64_CR26","DOI":"10.1109\/TPAMI.2009.96"},{"doi-asserted-by":"crossref","unstructured":"Neubert, P., Protzel, P.: Evaluating superpixels in video: metrics beyond figure-ground segmentation. In: BMVC (2013)","key":"64_CR27","DOI":"10.5244\/C.27.54"},{"unstructured":"Ng, A.Y., Jordan, M., Weiss, Y.: On spectral clustering: analysis and an algorithm. In: NIPS (2001)","key":"64_CR28"},{"doi-asserted-by":"crossref","unstructured":"Ochs, P., Malik, J., Brox, T.: Segmentation of moving objects by long term video analysis. In: TPAMI (2014)","key":"64_CR29","DOI":"10.1109\/TPAMI.2013.242"},{"doi-asserted-by":"crossref","unstructured":"Palou, G., Salembier, P.: Hierarchical video representation with trajectory binary partition tree. In: CVPR (2013)","key":"64_CR30","DOI":"10.1109\/CVPR.2013.273"},{"doi-asserted-by":"crossref","unstructured":"Papazoglou, A., Ferrari, V.: Fast object segmentation in unconstrained video. In: ICCV (2013)","key":"64_CR31","DOI":"10.1109\/ICCV.2013.223"},{"doi-asserted-by":"crossref","unstructured":"Pont-Tuset, J., Arbel\u00e1ez, P., Barron, J., Marques, F., Malik, J.: Multiscale combinatorial grouping for image segmentation, object proposal generation. \n                      arXiv:1503.00848\n                      \n                     (2015)","key":"64_CR32","DOI":"10.1109\/CVPR.2014.49"},{"doi-asserted-by":"crossref","unstructured":"Ren, X., Malik, J.: Learning a classification model for segmentation. In: ICCV (2003)","key":"64_CR33","DOI":"10.1109\/ICCV.2003.1238308"},{"doi-asserted-by":"crossref","unstructured":"Revaud, J., Weinzaepfel, P., Harchaoui, Z., Schmid, C.: EpicFlow: edge-preserving interpolation of correspondences for optical flow. In: CVPR (2015)","key":"64_CR34","DOI":"10.1109\/CVPR.2015.7298720"},{"unstructured":"Shi, J., Malik, J.: Normalized cuts and image segmentation. In: TPAMI (2000)","key":"64_CR35"},{"doi-asserted-by":"crossref","unstructured":"Sundberg, P., Brox, T., Maire, M., Arbelaez, P., Malik, J.: Occlusion boundary detection and figure\/ground assignment from optical flow. In: CVPR (2011)","key":"64_CR36","DOI":"10.1109\/CVPR.2011.5995364"},{"key":"64_CR37","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"725","DOI":"10.1007\/978-3-319-10590-1_47","volume-title":"Computer Vision \u2013 ECCV 2014","author":"EH Taralova","year":"2014","unstructured":"Taralova, E.H., Torre, F., Hebert, M.: Motion words for videos. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8689, pp. 725\u2013740. Springer, Heidelberg (2014). doi:\n                      10.1007\/978-3-319-10590-1_47"},{"unstructured":"Turaga, S.C., Briggman, K.L., Helmstaedter, M., Denk, W., Seung, H.S.: Maximin affinity learning of image segmentation. In: NIPS (2009)","key":"64_CR38"},{"key":"64_CR39","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1007\/978-3-642-15555-0_20","volume-title":"Computer Vision \u2013 ECCV 2010","author":"A Vazquez-Reina","year":"2010","unstructured":"Vazquez-Reina, A., Avidan, S., Pfister, H., Miller, E.: Multiple Hypothesis Video Segmentation from superpixel flows. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6315, pp. 268\u2013281. Springer, Heidelberg (2010). doi:\n                      10.1007\/978-3-642-15555-0_20"},{"doi-asserted-by":"crossref","unstructured":"Xie, S., Tu, Z.: Holistically-nested edge detection. In: ICCV (2015)","key":"64_CR40","DOI":"10.1109\/ICCV.2015.164"},{"doi-asserted-by":"crossref","unstructured":"Yi, S., Pavlovic, V.: Multi-cue structure preserving MRF for unconstrained video segmentation. In: ICCV (2015)","key":"64_CR41","DOI":"10.1109\/ICCV.2015.373"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2016 Workshops"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-49409-8_64","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,10]],"date-time":"2020-10-10T01:35:45Z","timestamp":1602293745000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-49409-8_64"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319494081","9783319494098"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-49409-8_64","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"24 November 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.eccv2016.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}