{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T05:08:11Z","timestamp":1745471291774,"version":"3.37.3"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"22","license":[{"start":{"date-parts":[[2018,4,24]],"date-time":"2018-04-24T00:00:00Z","timestamp":1524528000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61502331","11701410","61602338"],"award-info":[{"award-number":["61502331","11701410","61602338"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin City","doi-asserted-by":"publisher","award":["15JCQNJC00800"],"award-info":[{"award-number":["15JCQNJC00800"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1007\/s11042-018-5943-3","type":"journal-article","created":{"date-parts":[[2018,4,24]],"date-time":"2018-04-24T12:03:47Z","timestamp":1524571427000},"page":"29347-29365","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Embedded learning for computerized production of movie trailers"],"prefix":"10.1007","volume":"77","author":[{"given":"Jiachuan","family":"Sheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaqi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuzhi","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,4,24]]},"reference":[{"key":"5943_CR1","doi-asserted-by":"crossref","unstructured":"Abd-Almageed W (2008) Online, simultaneous shot boundary detection and key frame extraction for sports videos using rank tracing. In: Proceedings of the IEEE International Conference on Image Processing pp 3200\u20133203","DOI":"10.1109\/ICIP.2008.4712476"},{"issue":"1","key":"5943_CR2","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/s11042-015-3007-5","volume":"76","author":"M Almuashi","year":"2017","unstructured":"Almuashi M, Hashim SZM, Mohamad D et al (2017) Automated kinship verification and identification through human facial images: a survey[J]. Multimed Tools Appl 76(1):265\u2013307","journal-title":"Multimed Tools Appl"},{"key":"5943_CR3","doi-asserted-by":"crossref","unstructured":"Bay H, Tuytelaars T, Gool LV (2006) Speeded-up robust features (SURF). In: Proceedings of the European Conference on Computer Vision pp 404\u2013417","DOI":"10.1007\/11744023_32"},{"key":"5943_CR4","doi-asserted-by":"crossref","unstructured":"Chatfield K, Simonyan K, Vedaldi A et al (2014) Return of the devil in the details: delving deep into convolutional nets. In: Proceedings of the British Machine Vision Conference, BMVA Press","DOI":"10.5244\/C.28.6"},{"issue":"7","key":"5943_CR5","doi-asserted-by":"publisher","first-page":"1902","DOI":"10.1162\/NECO_a_00973","volume":"29","author":"D Cheng","year":"2017","unstructured":"Cheng D, Nie F, Sun J et al (2017) A weight-adaptive laplacian embedding for graph-based clustering[J]. Neural Comput 29(7):1902\u20131918","journal-title":"Neural Comput"},{"key":"5943_CR6","doi-asserted-by":"crossref","unstructured":"Cheng G, Yang C, Yao X et al (2018) When deep learning meets metric learning: remote sensing image scene classification via learning discriminative CNNs. IEEE Transactions on Geoscience & Remote Sensing pp 1\u201311","DOI":"10.1109\/TGRS.2018.2878382"},{"issue":"5","key":"5943_CR7","doi-asserted-by":"publisher","first-page":"1734","DOI":"10.1016\/j.patcog.2014.08.025","volume":"48","author":"C Ding","year":"2015","unstructured":"Ding C, Zhang L (2015) Double adjacency graphs-based discriminant neighborhood embedding[J]. Pattern Recogn 48(5):1734\u20131742","journal-title":"Pattern Recogn"},{"issue":"7","key":"5943_CR8","doi-asserted-by":"publisher","first-page":"1031","DOI":"10.1016\/j.jvcir.2012.06.013","volume":"23","author":"N Ejaz","year":"2012","unstructured":"Ejaz N, Tariq TB, Baik SW (2012) Adaptive key frame extraction for video summarization using an aggregation mechanism[J]. J Vis Commun Image Represent 23(7):1031\u20131040","journal-title":"J Vis Commun Image Represent"},{"issue":"12","key":"5943_CR9","doi-asserted-by":"publisher","first-page":"5114","DOI":"10.1109\/TIP.2015.2479917","volume":"24","author":"Y Han","year":"2015","unstructured":"Han Y, Yang Y, Wu F et al (2015) Compact and discriminative descriptor inference using multi-cues. IEEE Trans Image Process 24(12):5114\u20135126","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"5943_CR10","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1109\/TNNLS.2014.2314123","volume":"26","author":"Y Han","year":"2015","unstructured":"Han Y, Yang Y, Yan Y et al (2015) Semisupervised feature selection via spline regression for video semantic recognition. IEEE Trans Neural Netw Learn Syst 26(2):252\u2013264","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"C","key":"5943_CR11","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.neucom.2016.02.033","volume":"196","author":"F Huang","year":"2016","unstructured":"Huang F, Wen C, Luo H et al (2016) Local quality assessment of point clouds for indoor mobile mapping[J]. Neurocomputing 196(C):59\u201369","journal-title":"Neurocomputing"},{"issue":"827","key":"5943_CR12","first-page":"200","volume":"117","author":"T Joachims","year":"1999","unstructured":"Joachims T (1999) Transductive inference for text classification using support vector machines. Sixteenth Int Conf Mach Learn 117(827):200\u2013209","journal-title":"Sixteenth Int Conf Mach Learn"},{"key":"5943_CR13","doi-asserted-by":"crossref","unstructured":"Kim J, Lee JK, Lee KM (2016) Accurate image super-resolution using very deep convolutional networks. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp 1646\u20131654","DOI":"10.1109\/CVPR.2016.182"},{"issue":"C","key":"5943_CR14","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.neucom.2017.04.065","volume":"266","author":"J Li","year":"2017","unstructured":"Li J, Yao T, Ling Q et al (2017) Detecting shot boundary with sparse coding for video summarization[J]. Neurocomputing 266(C):66\u201378","journal-title":"Neurocomputing"},{"key":"5943_CR15","unstructured":"Liu J, Pengren A, Ge Q et al (2017) Gabor tensor based face recognition using the boosted nonparametric maximum margin criterion[J]. Multimed Tools Appl 1\u201315"},{"issue":"12","key":"5943_CR16","doi-asserted-by":"publisher","first-page":"5706","DOI":"10.1109\/TIP.2017.2736343","volume":"26","author":"P Liu","year":"2017","unstructured":"Liu P, Guo JM, Wu CY et al (2017) Fusion of deep learning and compressed domain features for content based image retrieval. IEEE Trans Image Process 26(12):5706\u20135717","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"5943_CR17","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1109\/TPAMI.2014.2299812","volume":"37","author":"YF Li","year":"2015","unstructured":"Li YF, Zhou ZH (2015) Towards making unlabeled data never hurt. IEEE Trans Pattern Anal Mach Intell 37(1):175\u2013188","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"5943_CR18","unstructured":"Lu S (2004) Content analysis and summarization for video documents. PhD thesis, Research Associate, VIEW lab, the Chinese University of Hong Kong, Department of Computer Science & Engineering"},{"issue":"12","key":"5943_CR19","doi-asserted-by":"publisher","first-page":"4024","DOI":"10.1016\/j.patcog.2015.05.027","volume":"48","author":"A Maronidis","year":"2015","unstructured":"Maronidis A, Tefas A, Pitas I (2015) Subclass graph embedding and a marginal fisher analysis paradigm[J]. Pattern Recogn 48(12):4024\u20134035","journal-title":"Pattern Recogn"},{"issue":"10","key":"5943_CR20","doi-asserted-by":"publisher","first-page":"1575","DOI":"10.1109\/TNNLS.2013.2261613","volume":"24","author":"E Martinez","year":"2013","unstructured":"Martinez E, Mu T, Jiang J et al (2013) Automated induction of heterogeneous proximity measures for supervised spectral embedding. IEEE Trans Neural Netw Learn Syst 24(10):1575\u20131587","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"8","key":"5943_CR21","doi-asserted-by":"publisher","first-page":"1291","DOI":"10.1109\/TNNLS.2012.2200693","volume":"23","author":"T Mu","year":"2012","unstructured":"Mu T, Jiang J, Wang Y et al (2012) Adaptive data embedding framework for multiclass classification. IEEE Trans Neural Netw Learn Syst 23(8):1291\u20131303","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"9","key":"5943_CR22","doi-asserted-by":"publisher","first-page":"12097","DOI":"10.1007\/s11042-016-4061-3","volume":"76","author":"M Otani","year":"2017","unstructured":"Otani M, Nakashima Y, Sato T et al (2017) Video summarization using textual descriptions for authoring video blogs[J]. Multimed Tools Appl 76(9):12097\u201312115","journal-title":"Multimed Tools Appl"},{"issue":"4","key":"5943_CR23","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1006\/jvci.1996.0030","volume":"7","author":"S Pfeiffer","year":"1996","unstructured":"Pfeiffer S, Lienhart R, Fischer S et al (1996) Abstracting digital movies automatically[J]. Vis Commun Image Represent 7(4):345\u2013353","journal-title":"Vis Commun Image Represent"},{"issue":"5500","key":"5943_CR24","doi-asserted-by":"publisher","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","volume":"290","author":"ST Roweis","year":"2000","unstructured":"Roweis ST, Saul LK (2000) Nonlinear dimensionality reduction by locally linear embedding[J]. Science 290(5500):2323\u20132326","journal-title":"Science"},{"issue":"2","key":"5943_CR25","doi-asserted-by":"publisher","first-page":"612","DOI":"10.1016\/j.patcog.2013.08.017","volume":"47","author":"J Sheng","year":"2014","unstructured":"Sheng J, Jiang J (2014) Recognition of chinese artists via windowed and entropy balanced fusion in Classification of their authored ink and wash paintings (IWPs). Pattern Recogn 47(2):612\u2013622","journal-title":"Pattern Recogn"},{"issue":"9","key":"5943_CR26","doi-asserted-by":"publisher","first-page":"093101-1-093101","DOI":"10.1117\/1.OE.52.9.093101","volume":"52","author":"J Sheng","year":"2013","unstructured":"Sheng J, Jiang J (2013) Style-based classification of ink and wash Chinese paintings[J]. Opt Eng 52(9):093101-1-093101-8","journal-title":"Opt Eng"},{"key":"5943_CR27","doi-asserted-by":"crossref","unstructured":"Smeaton AF, Lehane B, O'Connor NE et al (2006) Automatically selecting shots for action movie trailers. ACM Sigmm International Workshop on Multimedia Information Retrieval, Mir 2006, October 26-27, Santa Barbara, California, USA. DBLP 231\u2013238","DOI":"10.1145\/1178677.1178709"},{"key":"5943_CR28","unstructured":"Sun S, Wang F, He L (2017) Movie summarization using bullet screen comments[J]. Multimed Tools Appl 1\u201318"},{"issue":"5500","key":"5943_CR29","doi-asserted-by":"publisher","first-page":"2319","DOI":"10.1126\/science.290.5500.2319","volume":"290","author":"JB Tenenbaum","year":"2000","unstructured":"Tenenbaum JB, De SV, Langford JC (2000) A global geometric framework for nonlinear dimensionality reduction[J]. Science 290(5500):2319\u20132323","journal-title":"Science"},{"key":"5943_CR30","unstructured":"Theaters advocate shorter trailers, marketing (2014) MarketingMovies.net. \n                    http:\/\/www.marketingmovies.net\/news\/theaters-advocate-shorter-trailers-marketing\n                    \n                   (accessed 2014.01.28)"},{"key":"5943_CR31","doi-asserted-by":"crossref","unstructured":"Yao T, Mei T, Rui Y (2016) Highlight detection with pairwise deep ranking for first-person video summarization. In: IEEE International Conference on Computer Vision and Pattern Recognition pp 982\u2013990","DOI":"10.1109\/CVPR.2016.112"},{"issue":"7","key":"5943_CR32","doi-asserted-by":"publisher","first-page":"3196","DOI":"10.1109\/TIP.2017.2694222","volume":"26","author":"X Yao","year":"2017","unstructured":"Yao X, Han J, Zhang D et al (2017) Revisiting co-saliency detection: A novel approach based on two-stage multi-view spectral rotation co-clustering. IEEE Trans Image Process 26(7):3196\u20133209","journal-title":"IEEE Trans Image Process"},{"issue":"5","key":"5943_CR33","doi-asserted-by":"publisher","first-page":"865","DOI":"10.1109\/TPAMI.2016.2567393","volume":"39","author":"D Zhang","year":"2017","unstructured":"Zhang D, Meng D, Han J (2017) Co-saliency detection via a self-paced multiple-instance learning framework. IEEE Trans Pattern Anal Mach Intell 39(5):865\u2013878","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"5943_CR34","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/s00530-014-0416-7","volume":"23","author":"J Zhang","year":"2017","unstructured":"Zhang J, Han Y, Jiang J (2017) Semi-supervised tensor learning for image classification[J]. Multimedia Systems 23(1):63\u201373","journal-title":"Multimedia Systems"},{"key":"5943_CR35","doi-asserted-by":"crossref","unstructured":"Zhang K, Chao WL, Sha F et al (2016) Summary transfer: exemplar-based subset selection for video summarization. IEEE Conference on Computer Vision and Pattern Recognition, pp 1059\u20131067","DOI":"10.1109\/CVPR.2016.120"},{"issue":"8","key":"5943_CR36","first-page":"1269","volume":"28","author":"J Zhu","year":"2016","unstructured":"Zhu J, Pu Y, Xu D et al (2016) The effect of image quality for visual art analysis[J]. J Comput Aided Des Comput Graph 28(8):1269\u20131278","journal-title":"J Comput Aided Des Comput Graph"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-018-5943-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-5943-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-5943-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,23]],"date-time":"2019-04-23T19:14:46Z","timestamp":1556046886000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-018-5943-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4,24]]},"references-count":36,"journal-issue":{"issue":"22","published-print":{"date-parts":[[2018,11]]}},"alternative-id":["5943"],"URL":"https:\/\/doi.org\/10.1007\/s11042-018-5943-3","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2018,4,24]]},"assertion":[{"value":"15 December 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 March 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 March 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 April 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}