{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T04:08:14Z","timestamp":1750133294812,"version":"3.41.0"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319544267"},{"type":"electronic","value":"9783319544274"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-54427-4_31","type":"book-chapter","created":{"date-parts":[[2017,3,15]],"date-time":"2017-03-15T08:16:53Z","timestamp":1489565813000},"page":"417-433","source":"Crossref","is-referenced-by-count":0,"title":["VFSC: A Very Fast Sparse Clustering to Cluster Faces from Videos"],"prefix":"10.1007","author":[{"given":"Dinh-Luan","family":"Nguyen","sequence":"first","affiliation":[]},{"given":"Minh-Triet","family":"Tran","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,3,16]]},"reference":[{"key":"31_CR1","doi-asserted-by":"crossref","first-page":"790","DOI":"10.1016\/j.mcm.2012.12.025","volume":"58","author":"H Yao","year":"2013","unstructured":"Yao, H., Duan, Q., Li, D., Wang, J.: An improved k-means clustering algorithm for fish image segmentation. Math. Comput. Model. 58, 790\u2013798 (2013)","journal-title":"Math. Comput. Model."},{"key":"31_CR2","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1109\/THMS.2014.2363121","volume":"45","author":"Z Kang","year":"2015","unstructured":"Kang, Z., Landry, S.J.: An eye movement analysis algorithm for a multielement target tracking task: maximum transition-based agglomerative hierarchical clustering. IEEE Trans. Hum.-Mach. Syst. 45, 13\u201324 (2015)","journal-title":"IEEE Trans. Hum.-Mach. Syst."},{"key":"31_CR3","doi-asserted-by":"crossref","unstructured":"Huang, Z., Wang, R., Shan, S., Chen, X.: Projection metric learning on Grassmann manifold with application to video based face recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 140\u2013149 (2015)","DOI":"10.1109\/CVPR.2015.7298609"},{"key":"31_CR4","doi-asserted-by":"crossref","DOI":"10.1201\/b15410","volume-title":"Data Clustering: Algorithms and Applications","author":"CC Aggarwal","year":"2013","unstructured":"Aggarwal, C.C., Reddy, C.K.: Data Clustering: Algorithms and Applications. CRC Press, Boca Raton (2013)"},{"key":"31_CR5","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1109\/TMM.2012.2188784","volume":"14","author":"J Sang","year":"2012","unstructured":"Sang, J., Xu, C.: Robust face-name graph matching for movie character identification. IEEE Trans. Multimedia 14, 586\u2013596 (2012)","journal-title":"IEEE Trans. Multimedia"},{"key":"31_CR6","doi-asserted-by":"crossref","unstructured":"Wu, B., Zhang, Y., Hu, B.G., Ji, Q.: Constrained clustering and its application to face clustering in videos. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3507\u20133514 (2013)","DOI":"10.1109\/CVPR.2013.450"},{"key":"31_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1007\/978-3-642-33786-4_26","volume-title":"Computer Vision \u2013 ECCV 2012","author":"C-Y Lu","year":"2012","unstructured":"Lu, C.-Y., Min, H., Zhao, Z.-Q., Zhu, L., Huang, D.-S., Yan, S.: Robust and efficient subspace segmentation via least squares regression. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7578, pp. 347\u2013360. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-33786-4_26"},{"key":"31_CR8","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1109\/TPAMI.2012.88","volume":"35","author":"G Liu","year":"2013","unstructured":"Liu, G., Lin, Z., Yan, S., Sun, J., Yu, Y., Ma, Y.: Robust recovery of subspace structures by low-rank representation. IEEE Trans. Pattern Anal. Mach. Intell. 35, 171\u2013184 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"31_CR9","doi-asserted-by":"crossref","unstructured":"Lu, C., Feng, J., Lin, Z., Yan, S.: Correlation adaptive subspace segmentation by trace lasso. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1345\u20131352 (2013)","DOI":"10.1109\/ICCV.2013.170"},{"key":"31_CR10","doi-asserted-by":"crossref","unstructured":"Elhamifar, E., Vidal, R.: Sparse subspace clustering. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009, pp. 2790\u20132797. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206547"},{"key":"31_CR11","unstructured":"Wang, Y.X., Xu, H., Leng, C.: Provable subspace clustering: when LRR meets SSC. In: Advances in Neural Information Processing Systems, pp. 64\u201372 (2013)"},{"key":"31_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1007\/3-540-47977-5_20","volume-title":"Computer Vision \u2014 ECCV 2002","author":"A Fitzgibbon","year":"2002","unstructured":"Fitzgibbon, A., Zisserman, A.: On affine invariant clustering and automatic cast listing in movies. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2352, pp. 304\u2013320. Springer, Heidelberg (2002). doi: 10.1007\/3-540-47977-5_20"},{"key":"31_CR13","doi-asserted-by":"crossref","unstructured":"Fitzgibbon, A.W., Zisserman, A.: Joint manifold distance: a new approach to appearance based clustering. In: Proceeding of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, p. I-26. IEEE (2003)","DOI":"10.1109\/CVPR.2003.1211334"},{"key":"31_CR14","doi-asserted-by":"crossref","unstructured":"Hu, Y., Mian, A.S., Owens, R.: Sparse approximated nearest points for image set classification. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 121\u2013128 (2011)","DOI":"10.1109\/CVPR.2011.5995500"},{"key":"31_CR15","doi-asserted-by":"crossref","unstructured":"Wang, R., Shan, S., Chen, X., Gao, W.: Manifold-manifold distance with application to face recognition based on image set. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008, pp. 1\u20138. IEEE (2008)","DOI":"10.1109\/CVPR.2008.4587719"},{"key":"31_CR16","doi-asserted-by":"crossref","unstructured":"Arandjelovi\u0107, O., Cipolla, R.: Automatic cast listing in feature-length films with anisotropic manifold space. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 1513\u20131520. IEEE (2006)","DOI":"10.1109\/CVPR.2006.64"},{"key":"31_CR17","doi-asserted-by":"crossref","unstructured":"Prince, S.J., Elder, J.H.: Bayesian identity clustering. In: 2010 Canadian Conference on Computer and Robot Vision (CRV), pp. 32\u201339. IEEE (2010)","DOI":"10.1109\/CRV.2010.12"},{"key":"31_CR18","doi-asserted-by":"crossref","unstructured":"Wolf, L., Hassner, T., Maoz, I.: Face recognition in unconstrained videos with matched background similarity. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 529\u2013534. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995566"},{"key":"31_CR19","doi-asserted-by":"crossref","first-page":"1528","DOI":"10.1162\/neco.2007.19.6.1528","volume":"19","author":"ZL Lu","year":"2007","unstructured":"Lu, Z.L., Leen, T.K.: Penalized probabilistic clustering. Neural Comput. 19, 1528\u20131567 (2007)","journal-title":"Neural Comput."},{"key":"31_CR20","doi-asserted-by":"crossref","unstructured":"Cinbis, R.G., Verbeek, J., Schmid, C.: Unsupervised metric learning for face identification in TV video. In: 2011 IEEE International Conference on Computer Vision (ICCV), pp. 1559\u20131566. IEEE (2011)","DOI":"10.1109\/ICCV.2011.6126415"},{"key":"31_CR21","first-page":"1","volume":"128","author":"CM Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern recognition. Mach. Learn. 128, 1\u201358 (2006)","journal-title":"Mach. Learn."},{"key":"31_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/978-3-319-10599-4_9","volume-title":"Computer Vision \u2013 ECCV 2014","author":"S Xiao","year":"2014","unstructured":"Xiao, S., Tan, M., Xu, D.: Weighted block-sparse low rank representation for face clustering in videos. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8694, pp. 123\u2013138. Springer, Cham (2014). doi: 10.1007\/978-3-319-10599-4_9"},{"key":"31_CR23","doi-asserted-by":"crossref","unstructured":"Nguyen, D.L., Nguyen, V.T., Tran, M.T., Yoshitaka, A.: Adaptive wildnet face network for detecting face in the wild. In: Eighth International Conference on Machine Vision, International Society for Optics and Photonics, p. 98750S (2015)","DOI":"10.1117\/12.2229889"},{"key":"31_CR24","doi-asserted-by":"crossref","unstructured":"Nguyen, D.L., Nguyen, V.T., Tran, M.T., Yoshitaka, A.: Boosting speed and accuracy in deformable part models for face image in the wild. In: 2015 International Conference on Advanced Computing and Applications (ACOMP), pp. 134\u2013141. IEEE (2015)","DOI":"10.1109\/ACOMP.2015.9"},{"key":"31_CR25","doi-asserted-by":"crossref","first-page":"2002","DOI":"10.1109\/TPAMI.2014.2315808","volume":"36","author":"K Zhang","year":"2014","unstructured":"Zhang, K., Zhang, L., Yang, M.H.: Fast compressive tracking. IEEE Trans. Pattern Anal. Mach. Intell. 36, 2002\u20132015 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"31_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1007\/978-3-642-33715-4_24","volume-title":"Computer Vision \u2013 ECCV 2012","author":"Z Zeng","year":"2012","unstructured":"Zeng, Z., Chan, T.-H., Jia, K., Xu, D.: Finding correspondence from multiple images via sparse and low-rank decomposition. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7576, pp. 325\u2013339. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-33715-4_24"},{"key":"31_CR27","volume-title":"Principal Component Analysis","author":"I Jolliffe","year":"2002","unstructured":"Jolliffe, I.: Principal Component Analysis. Wiley, Hoboken (2002)"},{"key":"31_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-642-15567-3_1","volume-title":"Computer Vision \u2013 ECCV 2010","author":"Z Lu","year":"2010","unstructured":"Lu, Z., Ip, H.H.S.: Constrained spectral clustering via exhaustive and efficient constraint propagation. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6316, pp. 1\u201314. Springer, Heidelberg (2010). doi: 10.1007\/978-3-642-15567-3_1"},{"key":"31_CR29","unstructured":"Zelnik-Manor, L., Perona, P.: Self-tuning spectral clustering. In: Advances in Neural Information Processing Systems, pp. 1601\u20131608 (2004)"},{"key":"31_CR30","doi-asserted-by":"crossref","unstructured":"Everingham, M., Sivic, J., Zisserman, A.: Hello! My name is.. Buffy\u201d-automatic naming of characters in TV video. In: BMVC, vol. 2, p. 6 (2006)","DOI":"10.5244\/C.20.92"},{"key":"31_CR31","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1007\/978-3-319-29451-3_53","volume-title":"Image and Video Technology","author":"D-L Nguyen","year":"2016","unstructured":"Nguyen, D.-L., Nguyen, V.-T., Tran, M.-T., Yoshitaka, A.: Deep convolutional neural network in deformable part models for face detection. In: Br\u00e4unl, T., McCane, B., Rivera, M., Yu, X. (eds.) PSIVT 2015. LNCS, vol. 9431, pp. 669\u2013681. Springer, Heidelberg (2016). doi: 10.1007\/978-3-319-29451-3_53"},{"key":"31_CR32","doi-asserted-by":"crossref","unstructured":"Girshick, R., Iandola, F., Darrell, T., Malik, J.: Deformable part models are convolutional neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 437\u2013446 (2015)","DOI":"10.1109\/CVPR.2015.7298641"},{"key":"31_CR33","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1016\/j.imavis.2011.07.006","volume":"29","author":"N Vretos","year":"2011","unstructured":"Vretos, N., Solachidis, V., Pitas, I.: A mutual information based face clustering algorithm for movie content analysis. Image Vis. Comput. 29, 693\u2013705 (2011)","journal-title":"Image Vis. Comput."}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ACCV 2016 Workshops"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-54427-4_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T21:17:03Z","timestamp":1750108623000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-54427-4_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319544267","9783319544274"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-54427-4_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}