{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:27:48Z","timestamp":1740122868207,"version":"3.37.3"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2021,1,3]],"date-time":"2021-01-03T00:00:00Z","timestamp":1609632000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,3]],"date-time":"2021-01-03T00:00:00Z","timestamp":1609632000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100014717","name":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61902301"],"award-info":[{"award-number":["61902301"]}],"id":[{"id":"10.13039\/100014717","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007128","name":"Natural Science Foundation of Shaanxi Province","doi-asserted-by":"publisher","award":["2019JQ-255"],"award-info":[{"award-number":["2019JQ-255"]}],"id":[{"id":"10.13039\/501100007128","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013101","name":"Scientific Research Plan Projects of Shaanxi Education Department","doi-asserted-by":"publisher","award":["19JK0364"],"award-info":[{"award-number":["19JK0364"]}],"id":[{"id":"10.13039\/501100013101","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Graduate Scientific Innovation Fund for Xi'an Polytechnic University","award":["No.chx2020018"],"award-info":[{"award-number":["No.chx2020018"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2021,3]]},"DOI":"10.1007\/s11042-020-10254-4","type":"journal-article","created":{"date-parts":[[2021,1,3]],"date-time":"2021-01-03T15:02:30Z","timestamp":1609686150000},"page":"11015-11030","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automatic identification of focus personage in multi-lingual news images"],"prefix":"10.1007","volume":"80","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1306-8453","authenticated-orcid":false,"given":"Xueping","family":"Su","sequence":"first","affiliation":[]},{"given":"Danyao","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Jie","family":"Ren","sequence":"additional","affiliation":[]},{"given":"Matthias","family":"R\u00e4tsch","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,1,3]]},"reference":[{"key":"10254_CR1","unstructured":"Chen X, Zhou E, Mo Y, Liu J (2017) Delving deep into coarse-to-fine framework for facial land mark localization. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp 2088\u20132095"},{"key":"10254_CR2","doi-asserted-by":"crossref","unstructured":"Cheng J, Li D, Mirella L (2016) Long short term memory-networks for machine Reading. In: Proceedings of Conference on Empirical Methods in Natural Language Processing, pp. 551\u2013561","DOI":"10.18653\/v1\/D16-1053"},{"key":"10254_CR3","doi-asserted-by":"crossref","unstructured":"Cho K, Van Merri\u00ebnboer B, Gulcehre C (2014) Learning phrase representations using RNN encoder\u2013decoder for statistical machine translation. arxiv:1\u201315","DOI":"10.3115\/v1\/D14-1179"},{"key":"10254_CR4","unstructured":"Fan D-P, Wang W, Cheng M-M (2019) Shifting more attention to video salient object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pp. 8554\u20138564"},{"key":"10254_CR5","doi-asserted-by":"crossref","unstructured":"Gong Y, Lazebnik S, Gordo A (2011) Iterative quantization: A procrustean approach to learning binary codes. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp 1\u201315","DOI":"10.1109\/CVPR.2011.5995432"},{"key":"10254_CR6","first-page":"634","volume-title":"Multiple instance metric learning from automatically labeled bags of faces","author":"M Guillaumin","year":"2011","unstructured":"Guillaumin M, Verbeek J, Schmid C (2011) Multiple instance metric learning from automatically labeled bags of faces. European Conference on Computer Vision, In, pp 634\u2013647"},{"key":"10254_CR7","unstructured":"Huang Z, Xu W, Yu K (2015) Bidirectional LSTM-CRF models for sequence tagging. CoRR abs\/1508.01991"},{"key":"10254_CR8","unstructured":"Le D, Satoh S (2012) Auto face re-ranking by mining the web and video archives. In: Proceeding of IEEE Computer Society Conference on Computer Vision and. Pattern Recogn:2965\u20132972"},{"key":"10254_CR9","unstructured":"Li L, Feng X, Boulkenafet Z, Xia Z, Li M (2017) An original face anti-spoofing approachusing partial convolutional neural network. In: Proceeding of International Conference on Image Processing Theory Tools and Applications, pp 1\u20136"},{"key":"10254_CR10","unstructured":"Liang M, Hu X (2015) Recurrent convolution neural network for object recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 3367\u20133375"},{"key":"10254_CR11","volume-title":"Deep learning in natural language processing","author":"LDY Liu","year":"2018","unstructured":"Liu LDY (2018) Deep learning in natural language processing. Springer, Berlin"},{"issue":"3","key":"10254_CR12","doi-asserted-by":"publisher","first-page":"1368","DOI":"10.1109\/TIP.2016.2522378","volume":"25","author":"L Liu","year":"2016","unstructured":"Liu L, Lao S, Fieguth P, Guo Y, Wang X, Pietikainen M (2016) Median robust extended local binary pattern for texture classification. IEEE Trans Image Process 25(3):1368\u20131381","journal-title":"IEEE Trans Image Process"},{"key":"10254_CR13","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.patcog.2016.08.032","volume":"62","author":"L Liu","year":"2017","unstructured":"Liu L, Fieguth P, Guo Y, Wang X, Pietikainen M (2017) Local binary features for texture classification: Taxonomy and experimental study. Pattern Recogn 62:135\u2013160","journal-title":"Pattern Recogn"},{"issue":"7","key":"10254_CR14","doi-asserted-by":"publisher","first-page":"1371","DOI":"10.1109\/TIFS.2015.2408431","volume":"10","author":"J Lu","year":"2017","unstructured":"Lu J, Liong VE, Wang G (2017) Joint feature learning for face recognition. IEEE Trans Info Forensics Sec 10(7):1371\u20131383","journal-title":"IEEE Trans Info Forensics Sec"},{"key":"10254_CR15","doi-asserted-by":"crossref","unstructured":"Luo G, Huang X, Lin CY, Nie Z (2015) Joint named entity recognition and disambiguation. In: Proceedings of Conference on Empirical Methods in Natural Language Processing, pp. 879\u2013888","DOI":"10.18653\/v1\/D15-1104"},{"key":"10254_CR16","doi-asserted-by":"crossref","unstructured":"Milborrow S, Nicolls F (2008) Locating facial features with an extended active shape model. In: European Conference on Computer Vision, pp. 504\u2013513","DOI":"10.1007\/978-3-540-88693-8_37"},{"issue":"5","key":"10254_CR17","doi-asserted-by":"publisher","first-page":"1717","DOI":"10.1016\/j.patcog.2009.10.015","volume":"43","author":"D Ozkan","year":"2010","unstructured":"Ozkan D, Duygulu P (2010) Interesting faces: a graph-based approach for finding people in news. Pattern Recogn 43(5):1717\u20131735","journal-title":"Pattern Recogn"},{"issue":"5","key":"10254_CR18","doi-asserted-by":"publisher","first-page":"1953","DOI":"10.1109\/TIP.2014.2310123","volume":"23","author":"A Satpathy","year":"2014","unstructured":"Satpathy A, Jiang X, Eng H (2014) Lbp based edge texture features for object recognition. IEEE Trans Image Process 23(5):1953\u20131964","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"10254_CR19","doi-asserted-by":"publisher","first-page":"1643","DOI":"10.1007\/s11042-013-1578-6","volume":"73","author":"X Su","year":"2014","unstructured":"Su X, Peng J, Feng X, Fan J (2014) Cross-modality based celebrity face naming for news image collections. Multimed Tools Appl 73(3):1643\u20131661","journal-title":"Multimed Tools Appl"},{"issue":"11","key":"10254_CR20","doi-asserted-by":"publisher","first-page":"6445","DOI":"10.1007\/s11042-015-2581-x","volume":"75","author":"X Su","year":"2016","unstructured":"Su X, Peng J, Feng X, Wu J (2016) Labeling faces with names based on the namesemantic network. Multimed Tools Appl 75(11):6445\u20136462","journal-title":"Multimed Tools Appl"},{"issue":"3","key":"10254_CR21","first-page":"033","volume":"27","author":"X Su","year":"2018","unstructured":"Su X, Zhou H, Draghici VP, R\u00e4tsch M (2018) Face naming in news images via multiple instance learning and hybrid recurrent convolution neural network. J Electron Imag 27(3):033\u2013036","journal-title":"J Electron Imag"},{"key":"10254_CR22","unstructured":"Suand X, Zhou H (2017) Automatic focus personage identification in multi-lingual news image. In: Proceedings of International Conference on the Frontiers and Advances in DataScience, pp 64\u201369"},{"key":"10254_CR23","unstructured":"Sun Y, Wang X, Tang X (2014) Deep learning face representation by joint identification verification. Neural Information Processing Systems: 1988\u20131996"},{"key":"10254_CR24","doi-asserted-by":"crossref","unstructured":"Sun Y, Wang X, Tang X (2016) Sparsifying neural network connections for face recognition. In: IEEE Conference on Computer Vision and Pattern Recogn, pp 4856\u20134864","DOI":"10.1109\/CVPR.2016.525"},{"issue":"3","key":"10254_CR25","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1109\/TASLP.2015.2400218","volume":"23","author":"M Sundermeyer","year":"2015","unstructured":"Sundermeyer M, Ney H, Schl\u00fcter R (2015) From feed forward to recurrent LSTM neural networks for Language modeling. IEEE Trans Audio Speech Lang Process 23(3):517\u2013529","journal-title":"IEEE Trans Audio Speech Lang Process"},{"key":"10254_CR26","doi-asserted-by":"crossref","unstructured":"Tran K, Bisazza A, Monz C (2016) Recurrent memory networks for language modeling. The 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp 321\u2013331","DOI":"10.18653\/v1\/N16-1036"},{"key":"10254_CR27","doi-asserted-by":"crossref","unstructured":"Wang W, Lu X, Shen J (2019) Zero-shot video object segmentation via attentive graph neural networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp 9236\u20139245","DOI":"10.1109\/ICCV.2019.00933"},{"key":"10254_CR28","doi-asserted-by":"crossref","unstructured":"Wohlhart P, K\u00f6stinger M, Roth PM, Bischof H (2011) Multiple instance boosting for face recognition in videos. In: International Conference on. Pattern Recogn:132\u2013141","DOI":"10.1007\/978-3-642-23123-0_14"},{"key":"10254_CR29","doi-asserted-by":"crossref","unstructured":"Yang J, Yan R, Hauptmann AG (2005) Multiple instance learning for labeling faces in broadcasting news video. In: Association Computing Machinery International Conference on Multimedia, pp 31\u201340","DOI":"10.1145\/1101149.1101155"},{"key":"10254_CR30","unstructured":"Zhang B, Shan S, Gao Wand Chen X (2005) Local Gabor binary pattern histogram sequence: a novel non-statistical model for face representation and recognition. In: International Conference on Computer Vision, pp 786\u2013791"},{"key":"10254_CR31","doi-asserted-by":"crossref","unstructured":"Zhou J, Hong X, Su F, Zhao G (2016) Recurrent convolutional neural network regression for continuous pain intensity estimation in video. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition workshop on Context-Based Affect Recognition and Affective Face in-the-wild, pp 84\u201392","DOI":"10.1109\/CVPRW.2016.191"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-10254-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-020-10254-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-10254-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,26]],"date-time":"2021-03-26T00:19:39Z","timestamp":1616717979000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-020-10254-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,3]]},"references-count":31,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2021,3]]}},"alternative-id":["10254"],"URL":"https:\/\/doi.org\/10.1007\/s11042-020-10254-4","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2021,1,3]]},"assertion":[{"value":"24 October 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 November 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 December 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 January 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}