{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T18:48:37Z","timestamp":1725648517623},"publisher-location":"Berlin, Heidelberg","reference-count":26,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642273544"},{"type":"electronic","value":"9783642273551"}],"license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"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":[[2012]]},"DOI":"10.1007\/978-3-642-27355-1_36","type":"book-chapter","created":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T19:57:05Z","timestamp":1325447825000},"page":"383-394","source":"Crossref","is-referenced-by-count":0,"title":["Sequence Kernels for Clustering and Visualizing Near Duplicate Video Segments"],"prefix":"10.1007","author":[{"given":"Werner","family":"Bailer","sequence":"first","affiliation":[]}],"member":"297","reference":[{"key":"36_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1007\/978-3-642-17832-0_34","volume-title":"Advances in Multimedia Modeling","author":"W. Bailer","year":"2011","unstructured":"Bailer, W.: A Feature Sequence Kernel for Video Concept Classification. In: Lee, K.-T., Tsai, W.-H., Liao, H.-Y.M., Chen, T., Hsieh, J.-W., Tseng, C.-C. (eds.) MMM 2011 Part I. LNCS, vol.\u00a06523, pp. 359\u2013369. Springer, Heidelberg (2011)"},{"issue":"1","key":"36_CR2","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1007\/s00371-008-0280-6","volume":"25","author":"W. Bailer","year":"2009","unstructured":"Bailer, W., Lee, F., Thallinger, G.: A distance measure for repeated takes of one scene. The Visual Computer\u00a025(1), 53\u201368 (2009)","journal-title":"The Visual Computer"},{"issue":"1","key":"36_CR3","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1007\/s11042-009-0351-3","volume":"48","author":"L. Ballan","year":"2010","unstructured":"Ballan, L., Bertini, M., Del Bimbo, A., Serra, G.: Video event classification using string kernels. Multimedia Tools Appl.\u00a048(1), 69\u201387 (2010)","journal-title":"Multimedia Tools Appl."},{"key":"36_CR4","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1145\/1460096.1460144","volume-title":"Proc. 1st ACM International Conference on Multimedia Information Retrieval","author":"J. Choi","year":"2008","unstructured":"Choi, J., Jeon, W.J., Lee, S.-C.: Spatio-temporal pyramid matching for sports videos. In: Proc. 1st ACM International Conference on Multimedia Information Retrieval, pp. 291\u2013297. ACM, New York (2008)"},{"doi-asserted-by":"crossref","unstructured":"Cuturi, M., Vert, J.-P., Birkenes, O., Matsui, T.: A kernel for time series based on global alignments. Computing Research Repository, abs\/cs\/0610033 (2006)","key":"36_CR5","DOI":"10.1109\/ICASSP.2007.366260"},{"doi-asserted-by":"crossref","unstructured":"Dhillon, I.S., Guan, Y., Kulis, B.: Kernel k-means: spectral clustering and normalized cuts. In: KDD, pp. 551\u2013556 (2004)","key":"36_CR6","DOI":"10.1145\/1014052.1014118"},{"doi-asserted-by":"crossref","unstructured":"Djordjevic, D., Izquierdo, E.: Relevance feedback for image retrieval in structured multi-feature spaces. In: Proc. MobiCom (2006)","key":"36_CR7","DOI":"10.1145\/1374296.1374323"},{"doi-asserted-by":"crossref","unstructured":"Dumont, E., M\u00e9rialdo, B.: Rushes video parsing using video sequence alignment. In: Proc. CBMI 2009 (June 2009)","key":"36_CR8","DOI":"10.1109\/CBMI.2009.49"},{"doi-asserted-by":"crossref","unstructured":"Grauman, K., Darrell, T.: The pyramid match kernel: Discriminative classification with sets of image features. In: IEEE ICCV, vol. 2 (2005)","key":"36_CR9","DOI":"10.1109\/ICCV.2005.239"},{"doi-asserted-by":"crossref","unstructured":"Grauman, K., Darrell, T.: Approximate correspondences in high dimensions. In: NIPS, pp. 505\u2013512 (2006)","key":"36_CR10","DOI":"10.7551\/mitpress\/7503.003.0068"},{"key":"36_CR11","first-page":"725","volume":"8","author":"K. Grauman","year":"2007","unstructured":"Grauman, K., Darrell, T.: The pyramid match kernel: Efficient learning with sets of features. J. Mach. Learn. Res.\u00a08, 725\u2013760 (2007)","journal-title":"J. Mach. Learn. Res."},{"unstructured":"Lazebnik, S., Schmid, C., Ponce, J.: Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In: CVPR (2006)","key":"36_CR12"},{"doi-asserted-by":"crossref","unstructured":"Liu, Y., Zhou, F., Liu, W., De La Torre, F., Liu, Y.: Unsupervised summarization of rushes videos. In: Proc. ACM Multimedia, pp. 751\u2013754 (2010)","key":"36_CR13","DOI":"10.1145\/1873951.1874069"},{"issue":"7","key":"36_CR14","doi-asserted-by":"publisher","first-page":"1389","DOI":"10.1002\/j.1538-7305.1981.tb00272.x","volume":"60","author":"C.S. Myers","year":"1981","unstructured":"Myers, C.S., Rabiner, L.R.: A comparative study of several dynamic time-warping algorithms for connected word recognition. The Bell System Technical Journal\u00a060(7), 1389\u20131409 (1981)","journal-title":"The Bell System Technical Journal"},{"unstructured":"NHK Science & Technical Research Laboratories. Test modules for TRECVID activity. Use case scenario. Ver.1.2.0E (April 2008)","key":"36_CR15"},{"key":"36_CR16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1463563","volume-title":"Proceedings of the 2nd ACM TRECVid Video Summarization Workshop, TVS 2008","author":"P. Over","year":"2008","unstructured":"Over, P., Smeaton, A.F., Awad, G.: The TRECVID 2008 BBC rushes summarization evaluation. In: Proceedings of the 2nd ACM TRECVid Video Summarization Workshop, TVS 2008, pp. 1\u201320. ACM, New York (2008)"},{"unstructured":"Rahimi, A., Kiran, R.: How earth mover\u2019s distance comprares two bags. Technical report, Intel Labs Berkeley (2007)","key":"36_CR17"},{"doi-asserted-by":"crossref","unstructured":"Ricci, E., Tobia, F., Zen, G.: Learning pedestrian trajectories with kernels. In: ICPR, pp. 149\u2013152 (2010)","key":"36_CR18","DOI":"10.1109\/ICPR.2010.45"},{"issue":"2","key":"36_CR19","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1023\/A:1026543900054","volume":"40","author":"Y. Rubner","year":"2000","unstructured":"Rubner, Y., Tomasi, C., Guibas, L.J.: The earth mover\u2019s distance as a metric for image retrieval. Int. J. of Computer Vision\u00a040(2), 99\u2013121 (2000)","journal-title":"Int. J. of Computer Vision"},{"doi-asserted-by":"crossref","unstructured":"Sch\u00f6lkopf, B., Smola, A., M\u00fcller, K.-R.: Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation\u00a010(5) (1998)","key":"36_CR20","DOI":"10.1162\/089976698300017467"},{"doi-asserted-by":"crossref","unstructured":"Shawe-Taylor, J., Cristianini, N.: Kernel Methods for Pattern Analysis. Cambridge Univ. Press (2004)","key":"36_CR21","DOI":"10.1017\/CBO9780511809682"},{"unstructured":"Shimodaira, H., Noma, K.-I., Nakai, M., Sagayama, S.: Dynamic time-alignment kernel in support vector machine. In: NIPS (2001)","key":"36_CR22"},{"doi-asserted-by":"crossref","unstructured":"Smeaton, A.F., Over, P., Kraaij, W.: Evaluation campaigns and TRECVid. In: Proc. 8th ACM International Workshop on Multimedia Information Retrieval, pp. 321\u2013330 (2006)","key":"36_CR23","DOI":"10.1145\/1178677.1178722"},{"doi-asserted-by":"crossref","unstructured":"Xu, D., Chang, S.-F.: Visual event recognition in news video using kernel methods with multi-level temporal alignment. In: IEEE CVPR (2007)","key":"36_CR24","DOI":"10.1109\/CVPR.2007.383226"},{"doi-asserted-by":"crossref","unstructured":"Xu, D., Chang, S.-F.: Video event recognition using kernel methods with multilevel temporal alignment. IEEE Trans. Pattern Anal. Mach. Intell. 30 (2008)","key":"36_CR25","DOI":"10.1109\/TPAMI.2008.129"},{"key":"36_CR26","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1145\/1460096.1460107","volume-title":"Proc. 1st ACM International Conference on Multimedia Information Retrieval","author":"M.-C. Yeh","year":"2008","unstructured":"Yeh, M.-C., Cheng, K.-T.: A string matching approach for visual retrieval and classification. In: Proc. 1st ACM International Conference on Multimedia Information Retrieval, pp. 52\u201358. ACM, New York (2008)"}],"container-title":["Lecture Notes in Computer Science","Advances in Multimedia Modeling"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-27355-1_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,16]],"date-time":"2024-04-16T22:42:37Z","timestamp":1713307357000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-27355-1_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642273544","9783642273551"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-27355-1_36","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}