{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T06:54:31Z","timestamp":1764053671652,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030570576"},{"type":"electronic","value":"9783030570583"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-57058-3_40","type":"book-chapter","created":{"date-parts":[[2020,8,13]],"date-time":"2020-08-13T23:06:05Z","timestamp":1597359965000},"page":"572-586","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Re-Ranking for Writer Identification and Writer Retrieval"],"prefix":"10.1007","author":[{"given":"Simon","family":"Jordan","sequence":"first","affiliation":[]},{"given":"Mathias","family":"Seuret","sequence":"additional","affiliation":[]},{"given":"Pavel","family":"Kr\u00e1l","sequence":"additional","affiliation":[]},{"given":"Ladislav","family":"Lenc","sequence":"additional","affiliation":[]},{"given":"Ji\u0159\u00ed","family":"Mart\u00ednek","sequence":"additional","affiliation":[]},{"given":"Barbara","family":"Wiermann","sequence":"additional","affiliation":[]},{"given":"Tobias","family":"Schwinger","sequence":"additional","affiliation":[]},{"given":"Andreas","family":"Maier","sequence":"additional","affiliation":[]},{"given":"Vincent","family":"Christlein","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,8,14]]},"reference":[{"key":"40_CR1","doi-asserted-by":"crossref","unstructured":"Arandjelovi\u0107, R., Zisserman, A.: Three things everyone should know to improve object retrieval. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2911\u20132918. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6248018"},{"issue":"1","key":"40_CR2","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1016\/j.patcog.2011.07.005","volume":"45","author":"A Brink","year":"2012","unstructured":"Brink, A., Smit, J., Bulacu, M., Schomaker, L.: Writer identification using directional ink-trace width measurements. Pattern Recogn. 45(1), 162\u2013171 (2012)","journal-title":"Pattern Recogn."},{"key":"40_CR3","doi-asserted-by":"crossref","unstructured":"Bulacu, M., Schomaker, L.: Automatic handwriting identification on medieval documents. In: 14th International Conference on Image Analysis and Processing (ICIAP 2007), Modena, pp. 279\u2013284, September 2007","DOI":"10.1109\/ICIAP.2007.4362792"},{"issue":"6","key":"40_CR4","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1109\/TPAMI.1986.4767851","volume":"8","author":"J Canny","year":"1986","unstructured":"Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8(6), 679\u2013698 (1986)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"40_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2071389.2071390","volume":"44","author":"C Carpineto","year":"2012","unstructured":"Carpineto, C., Romano, G.: A survey of automatic query expansion in information retrieval. ACM Comput. Surv. (CSUR) 44(1), 1 (2012)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"40_CR6","unstructured":"Christlein, V.: Handwriting analysis with focus on writer identification and writer retrieval. doctoral thesis, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) (2019)"},{"key":"40_CR7","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1016\/j.patcog.2016.10.005","volume":"63","author":"V Christlein","year":"2017","unstructured":"Christlein, V., Bernecker, D., H\u00f6nig, F., Maier, A., Angelopoulou, E.: Writer identification using GMM supervectors and exemplar-SVMs. Pattern Recogn. 63, 258\u2013267 (2017)","journal-title":"Pattern Recogn."},{"key":"40_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1007\/978-3-319-24947-6_45","volume-title":"Pattern Recognition","author":"V Christlein","year":"2015","unstructured":"Christlein, V., Bernecker, D., Maier, A., Angelopoulou, E.: Offline writer identification using convolutional neural network activation features. In: Gall, J., Gehler, P., Leibe, B. (eds.) GCPR 2015. LNCS, vol. 9358, pp. 540\u2013552. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24947-6_45"},{"key":"40_CR9","doi-asserted-by":"crossref","unstructured":"Christlein, V., Gropp, M., Fiel, S., Maier, A.: Unsupervised feature learning for writer identification and writer retrieval. In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), vol. 1, pp. 991\u2013997. IEEE (2017)","DOI":"10.1109\/ICDAR.2017.165"},{"key":"40_CR10","doi-asserted-by":"crossref","unstructured":"Christlein, V., Maier, A.: Encoding CNN activations for writer recognition. In: 13th IAPR International Workshop on Document Analysis Systems, Vienna, pp. 169\u2013174, April 2018","DOI":"10.1109\/DAS.2018.9"},{"key":"40_CR11","doi-asserted-by":"crossref","unstructured":"Chum, O., Mikulik, A., Perdoch, M., Matas, J.: Total recall ii: query expansion revisited. In: CVPR 2011, pp. 889\u2013896. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995601"},{"key":"40_CR12","doi-asserted-by":"crossref","unstructured":"Chum, O., Philbin, J., Sivic, J., Isard, M., Zisserman, A.: Total recall: automatic query expansion with a generative feature model for object retrieval. In: 2007 IEEE 11th International Conference on Computer Vision, pp. 1\u20138. IEEE (2007)","DOI":"10.1109\/ICCV.2007.4408891"},{"key":"40_CR13","doi-asserted-by":"crossref","unstructured":"Fiel, S., et al.: Icdar 2017 competition on historical document writer identification (historical-wi). In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), vol. 01, pp. 1377\u20131382, November 2018","DOI":"10.1109\/ICDAR.2017.225"},{"key":"40_CR14","doi-asserted-by":"crossref","unstructured":"Fiel, S., Sablatnig, R.: Writer identification and writer retrieval using the fisher vector on visual vocabularies. In: 2013 12th International Conference on Document Analysis and Recognition (ICDAR), Washington DC, pp. 545\u2013549, August 2013","DOI":"10.1109\/ICDAR.2013.114"},{"issue":"9","key":"40_CR15","doi-asserted-by":"publisher","first-page":"1704","DOI":"10.1109\/TPAMI.2011.235","volume":"34","author":"H J\u00e9gou","year":"2012","unstructured":"J\u00e9gou, H., Perronnin, F., Douze, M., S\u00e1nchez, J., P\u00e9rez, P., Schmid, C.: Aggregating local image descriptors into compact codes. IEEE Trans. Pattern Anal. Mach. Intell. 34(9), 1704\u20131716 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"40_CR16","doi-asserted-by":"crossref","unstructured":"Keglevic, M., Fiel, S., Sablatnig, R.: Learning features for writer retrieval and identification using triplet CNNs. In: 2018 16th International Conference on Frontiers in Handwriting Recognition, Niagara Falls, pp. 211\u2013216, August 2018","DOI":"10.1109\/ICFHR-2018.2018.00045"},{"key":"40_CR17","doi-asserted-by":"crossref","unstructured":"Kobayashi, T.: Dirichlet-based histogram feature transform for image classification. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, pp. 3278\u20133285, June 2014","DOI":"10.1109\/CVPR.2014.413"},{"issue":"2","key":"40_CR18","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91\u2013110 (2004). https:\/\/doi.org\/10.1023\/B:VISI.0000029664.99615.94","journal-title":"Int. J. Comput. Vis."},{"issue":"9","key":"40_CR19","doi-asserted-by":"publisher","first-page":"1797","DOI":"10.1109\/TPAMI.2016.2615621","volume":"39","author":"N Murray","year":"2016","unstructured":"Murray, N., Jegou, H., Perronnin, F., Zisserman, A.: Interferences in match kernels. IEEE Trans. Pattern Anal. Mach. Intell. 39(9), 1797\u20131810 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"40_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1007\/978-3-642-15561-1_11","volume-title":"Computer Vision \u2013 ECCV 2010","author":"F Perronnin","year":"2010","unstructured":"Perronnin, F., S\u00e1nchez, J., Mensink, T.: Improving the fisher kernel for large-scale image classification. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6314, pp. 143\u2013156. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-15561-1_11"},{"key":"40_CR21","doi-asserted-by":"crossref","unstructured":"Qin, D., Gammeter, S., Bossard, L., Quack, T., Van Gool, L.: Hello neighbor: accurate object retrieval with k-reciprocal nearest neighbors. In: CVPR 2011, pp. 777\u2013784. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995373"},{"key":"40_CR22","doi-asserted-by":"crossref","unstructured":"Tang, Y., Wu, X.: Text-independent writer identification via CNN features and joint Bayesian. In: 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), Shenzhen, pp. 566\u2013571, October 2016","DOI":"10.1109\/ICFHR.2016.0109"},{"key":"40_CR23","doi-asserted-by":"crossref","unstructured":"Wahlberg, F., M\u00e5rtensson, L., Brun, A.: Large scale style based dating of medieval manuscripts. In: 3rd International Workshop on Historical Document Imaging and Processing (HIP 2015), Nancy, pp. 107\u2013114. ACM, August 2015","DOI":"10.1145\/2809544.2809560"},{"key":"40_CR24","doi-asserted-by":"crossref","unstructured":"Zhong, Z., Zheng, L., Cao, D., Li, S.: Re-ranking person re-identification with k-reciprocal encoding. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1318\u20131327 (2017)","DOI":"10.1109\/CVPR.2017.389"},{"issue":"8","key":"40_CR25","doi-asserted-by":"publisher","first-page":"702","DOI":"10.1016\/j.patrec.2009.12.010","volume":"31","author":"X Zhou","year":"2010","unstructured":"Zhou, X., Zhuang, X., Tang, H., Hasegawa-Johnson, M., Huang, T.S.: Novel gaussianized vector representation for improved natural scene categorization. Pattern Recogn. Lett. 31(8), 702\u2013708 (2010)","journal-title":"Pattern Recogn. Lett."}],"container-title":["Lecture Notes in Computer Science","Document Analysis Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-57058-3_40","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T00:10:45Z","timestamp":1723594245000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-57058-3_40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030570576","9783030570583"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-57058-3_40","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"14 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DAS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Document Analysis Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2020","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":"das2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iapr.org\/das2020","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"57","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"70% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.86","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1.01","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to the Corona pandemic the conference was held as a virtual event.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}