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Artykuły w czasopismach na temat "HISTORICAL MANUSCRIPT IMAGES"
Fakhriati, Fakhriati. "The Use of Papers in The Acehnese Islamic Manuscripts and its Historical Context". Heritage of Nusantara: International Journal of Religious Literature and Heritage 2, nr 1 (28.01.2016): 51–72. http://dx.doi.org/10.31291/hn.v2i1.102.
Pełny tekst źródłaTang, Minli, Shaomin Xie, Mu He i Xiangrong Liu. "Character Recognition in Endangered Archives: Shui Manuscripts Dataset, Detection and Application Realization". Applied Sciences 12, nr 11 (25.05.2022): 5361. http://dx.doi.org/10.3390/app12115361.
Pełny tekst źródłaDirkse, Saskia, Patrick Andrist i Martin Wallraff. "Structural Visualization of Manuscripts (StruViMan): Principles, Methods, Prospects". Open Theology 5, nr 1 (1.01.2019): 249–58. http://dx.doi.org/10.1515/opth-2019-0009.
Pełny tekst źródłaDewi Lestari, Anak Agung Istri, I. Gede Santi Astawa, Ngurah Agus Sanjaya ER, I. Putu Gede Hendra Suputra, Cokorda Rai Adi Pramartha i I. Wayan Supriana. "Segmentasi Baris Lontar Dengan Metode A * Path Planning". JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 11, nr 2 (14.07.2022): 349. http://dx.doi.org/10.24843/jlk.2022.v11.i02.p14.
Pełny tekst źródłaSorbello Staub, Alessandra, Johannes Staub, Inga Richter i Marc Birringer. "Near-Infrared Laser Scanning (NILS) to Differentiate Historical Inks, Deployed on a Stained and Faded Ninth-Century Fragment of Boethius Reused as Binding Material: Proving a Concept". Restaurator. International Journal for the Preservation of Library and Archival Material 37, nr 1 (1.01.2016): 1–13. http://dx.doi.org/10.1515/res-2015-0005.
Pełny tekst źródłaZotova, Elizaveta V. "“CODEX OF CONRAD SACRISTAN” AND IMAGES OF AUTHORITY IN GERMAN BOOK ILLUMINATION OF THE SECOND HALF OF 12 TH CENTURY". RSUH/RGGU Bulletin. "Literary Theory. Linguistics. Cultural Studies" Series, nr 1 (2022): 61–71. http://dx.doi.org/10.28995/2686-7249-2022-1-61-71.
Pełny tekst źródłaMat Som, Hafizan, Jasni Mohamad Zain i Amzari Jihadi Ghazali. "Application of Threshold Techniques for Readability Improvement of Jawi Historical Manuscript Images". Advanced Computing: An International Journal 2, nr 2 (30.03.2011): 60–69. http://dx.doi.org/10.5121/acij.2011.2206.
Pełny tekst źródłaATEEQ, Samira Salem Ahmed, i Najia Mohmmed KHALIFA. "MANUSCRIPTS AND ITS ROLE IN WRITING HISTORY". RIMAK International Journal of Humanities and Social Sciences 04, nr 05 (1.09.2022): 641–57. http://dx.doi.org/10.47832/2717-8293.19.37.
Pełny tekst źródłaSavant, Sarah Bowen, i Majid Montazer Mahdi. "The History of Iranian Cities through their Books: What Ms. Köprülü 01589 Tells Us about 8th/14th Century Shiraz". Eurasian Studies 16, nr 1-2 (7.12.2018): 430–64. http://dx.doi.org/10.1163/24685623-12340059.
Pełny tekst źródłaGanter, Granville. "Mistress of Her Art: Anne Laura Clarke, Traveling Lecturer of the 1820s". New England Quarterly 87, nr 4 (grudzień 2014): 709–46. http://dx.doi.org/10.1162/tneq_a_00418.
Pełny tekst źródłaRozprawy doktorskie na temat "HISTORICAL MANUSCRIPT IMAGES"
Lee, Hye-Min. "Les images de l'histoire : du Speculum historiale au Miroir historial : culture historique et iconographie dans les manuscrits enluminés de Vincent de Beauvais". Paris, EHESS, 2006. http://www.theses.fr/2006EHES0146.
Pełny tekst źródłaThe study of illuminated manuscripts of Vincent de Beauvais' Speculum historíale and its translation Miroir historial is a good example of how a history book was received-and interpretated in different fashions according to social milieux. Manuscripts from the Speculum, that were particularly destinated to monastic and urban studia, show few miniatures. On the contrary, French manuscripts contain the rich iconographic cycles that uphold their commissioners' interests. The copies presented to Queen Jeanne de Bourgogne and King Charles V show respectively the legitimacy and continuity of the royal power of the Valois, and glorify their autonomy in relation to the Germanic emperor. In the following century, the Miroir of Jacques d'Armagnac reveals his feudal reactionary attitude against social change The manuscripts of Louis de Bruges can be seen as a reflection of the historical culture of the Burgundian milieu. Images are therefore a perspicacious witness of historical culture
Komada, Akiko. "Les illustrations de la Bible historiale : les manuscrits réalisés dans le Nord". Paris 4, 2000. http://www.theses.fr/2000PA040097.
Pełny tekst źródłaStagni, Reno. "Imagens alquímicas renascentistas: um estudo preliminar do manuscrito La génération et opération du grand oeuvre pour faire de l or (1620)". Pontifícia Universidade Católica de São Paulo, 2008. https://tede2.pucsp.br/handle/handle/13401.
Pełny tekst źródłaConselho Nacional de Desenvolvimento Científico e Tecnológico
The objective of this study is to analyze, among the multiple aspects that permeate the alchemical tradition, one that treats the relation between image and text as a way to the knowledge stored in the books, and to try to evidence some aspects of the use of the image as a tool to decode the verbal text. Therefore it was chosen, as case study, the manuscript La Génération et Opération du Grand OEuvre pour Faire de l Or (The Generation and Operation of the Great Work to Make Gold), anonymous manuscript, copied in the first quarter of the XVII century, whose comparison with alchemical works related to that same period provided the analysis, object of this study
O objetivo deste estudo é analisar, dentre os múltiplos aspectos que permeiam a tradição alquímica, aquele que trata das relações entre imagem e texto como via de acesso aos conhecimentos guardados nos livros, e tentar evidenciar alguns aspectos do uso da imagem como instrumento de decodificação do texto verbal. Para tanto foi selecionado, como estudo de caso, o manuscrito La Génération et Opération du Grand OEuvre pour Faire de l Or (A Geração e Operação da Grande Obra para Fazer Ouro), manuscrito anepígrafo, copiado no primeiro quartel do século XVII, cujo confronto com outras obras alquímicas do mesmo período, propiciou a análise, objeto deste estudo
Puigcerver, I. Pérez Joan. "A Probabilistic Formulation of Keyword Spotting". Doctoral thesis, Universitat Politècnica de València, 2019. http://hdl.handle.net/10251/116834.
Pełny tekst źródła[CAT] La detecció de paraules clau (Keyword Spotting, en anglès), aplicada a documents de text manuscrit, té com a objectiu recuperar els documents, o parts d'ells, que siguen rellevants per a una certa consulta (query, en anglès), indicada per l'usuari, dintre d'una gran col·lecció de documents. La temàtica ha recollit un gran interés en els últims 20 anys entre investigadors en Reconeixement de Formes (Pattern Recognition), així com biblioteques i arxius digitals. Aquesta tesi defineix l'objectiu de la detecció de paraules claus a partir d'una perspectiva basada en la Teoria de la Decisió i una formulació probabilística adequada. Més concretament, la detecció de paraules clau es presenta com un cas concret de Recuperació de la Informació (Information Retrieval), on el contingut dels documents és desconegut, però pot ser modelat mitjançant una distribució de probabilitat. A més, la tesi també demostra que, sota les distribucions de probabilitat correctes, el marc de treball desenvolupat condueix a la solució òptima del problema, segons diverses mesures d'avaluació utilitzades tradicionalment en el camp. Després, diferents models estadístics s'utilitzen per representar les distribucions necessàries: Xarxes Neuronal Recurrents i Models Ocults de Markov. Els paràmetres d'aquests són estimats a partir de dades d'entrenament, i les corresponents distribucions són representades mitjançant Transductors d'Estats Finits amb Pesos (Weighted Finite State Transducers). Amb l'objectiu de fer el marc de treball útil per a grans col·leccions de documents, es presenten distints algorismes per construir índexs de paraules a partir dels models probabilístics, tan basats en un lèxic tancat com en un obert. Aquests índexs són molt semblants als utilitzats per motors de cerca tradicionals. A més a més, s'estudia la relació que hi ha entre la formulació probabilística presentada i altres mètodes de gran influència en el camp de la detecció de paraules clau, destacant algunes limitacions dels segons. Finalment, totes les aportacions s'avaluen de forma experimental, no sols utilitzant proves acadèmics estàndard, sinó també en col·leccions amb desenes de milers de pàgines provinents de manuscrits històrics. Els resultats mostren que el marc de treball presentat permet construir sistemes de detecció de paraules clau molt acurats i ràpids, amb una sòlida base teòrica.
[EN] Keyword Spotting, applied to handwritten text documents, aims to retrieve the documents, or parts of them, that are relevant for a query, given by the user, within a large collection of documents. The topic has gained a large interest in the last 20 years among Pattern Recognition researchers, as well as digital libraries and archives. This thesis, first defines the goal of Keyword Spotting from a Decision Theory perspective. Then, the problem is tackled following a probabilistic formulation. More precisely, Keyword Spotting is presented as a particular instance of Information Retrieval, where the content of the documents is unknown, but can be modeled by a probability distribution. In addition, the thesis also proves that, under the correct probability distributions, the framework provides the optimal solution, under many of the evaluation measures traditionally used in the field. Later, different statistical models are used to represent the probability distribution over the content of the documents. These models, Hidden Markov Models or Recurrent Neural Networks, are estimated from training data, and the corresponding distributions over the transcripts of the images can be efficiently represented using Weighted Finite State Transducers. In order to make the framework practical for large collections of documents, this thesis presents several algorithms to build probabilistic word indexes, using both lexicon-based and lexicon-free models. These indexes are very similar to the ones used by traditional search engines. Furthermore, we study the relationship between the presented formulation and other seminal approaches in the field of Keyword Spotting, highlighting some limitations of the latter. Finally, all the contributions are evaluated experimentally, not only on standard academic benchmarks, but also on collections including tens of thousands of pages of historical manuscripts. The results show that the proposed framework and algorithms allow to build very accurate and very fast Keyword Spotting systems, with a solid underlying theory.
Puigcerver I Pérez, J. (2018). A Probabilistic Formulation of Keyword Spotting [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/116834
TESIS
OMAYIO, ENOCK OSORO. "DEVELOPMENT OF FRAMEWORK FOR CLASSIFICATION AND ARCHIVING HISTORICAL MANUSCRIPT IMAGES". Thesis, 2023. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19740.
Pełny tekst źródłaKsiążki na temat "HISTORICAL MANUSCRIPT IMAGES"
Manfred, Thaller, i Max-Planck-Institut für Geschichte, red. Images and manuscripts in historical computing. St. Katharinen: Max-Planck-Institut für Geschichte in Kommission bei Scripta Mercaturae, 1992.
Znajdź pełny tekst źródłaDotto, Diego, Dávid Falvay i Antonio Montefusco. Le Meditationes Vitae Christi in volgare secondo il codice Paris, BnF, it. 115 Edizione, commentario e riproduzione del corredo iconografico. Venice: Fondazione Università Ca’ Foscari, 2021. http://dx.doi.org/10.30687/978-88-6969-509-4.
Pełny tekst źródłaTutton, Michael. Construction as Depicted in Western Art. NL Amsterdam: Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789462982550.
Pełny tekst źródłaWonder, image, and cosmos in medieval Islam. New Haven [Conn.]: Yale University Press, 2011.
Znajdź pełny tekst źródłaTranslating truth: Ambitious images and religious knowledge in late medieval France and England. New Haven [Conn.]: Yale University Press, 2011.
Znajdź pełny tekst źródłaJackson, Cailah. Islamic Manuscripts of Late Medieval Rum, 1270s-1370s. Edinburgh University Press, 2020. http://dx.doi.org/10.3366/edinburgh/9781474451482.001.0001.
Pełny tekst źródłaAuction, American Historical. Historical Images and Manuscripts. Public Auction June 28, 1998. To be held in New York City. American Historical Auctions. American Historical Auctions, 1998.
Znajdź pełny tekst źródłaSwift, Jonathan. Journal to Stella. Redaktor Abigail Williams. Cambridge University Press, 2013. http://dx.doi.org/10.1017/9780521841665.
Pełny tekst źródłaCleaver, Laura. Documents, Documentation, and the Making of History Books. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198802624.003.0004.
Pełny tekst źródłaCressy, David. Shipwrecks and the Bounty of the Sea. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192863393.001.0001.
Pełny tekst źródłaCzęści książek na temat "HISTORICAL MANUSCRIPT IMAGES"
Ngo, Vuong M., Gary Munnelly, Fabrizio Orlandi, Peter Crooks, Declan O’Sullivan i Owen Conlan. "A Semantic Search Engine for Historical Handwritten Document Images". W Linking Theory and Practice of Digital Libraries, 60–65. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86324-1_7.
Pełny tekst źródłaIsmail, Saad M., i Siti Norul Huda Sheikh Abdullah. "Novel Binarization Method for Enhancing Ancient and Historical Manuscript Images". W Lecture Notes in Computer Science, 393–406. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13647-9_36.
Pełny tekst źródłaBaig, Asim, Somaya Al-Maadeed, Ahmed Bouridane i Mohamed Cheriet. "Direct Unsupervised Text Line Extraction from Colored Historical Manuscript Images Using DCT". W Lecture Notes in Computer Science, 753–62. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41501-7_84.
Pełny tekst źródłaDubey, Nidhi. "Digital Image Restoration of Historical Devanagari Manuscripts". W Advances in Intelligent Systems and Computing, 571–83. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1135-2_43.
Pełny tekst źródłaShi, Zhixin, Srirangaraj Setlur i Venu Govindaraju. "Digital Image Enhancement of Indic Historical Manuscripts". W Advances in Pattern Recognition, 249–67. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84800-330-9_13.
Pełny tekst źródłaSissis, Philippa. "Script as Image: Visual Acuity in the Script of Poggio Bracciolini". W Atti, 119–48. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-6453-968-3.10.
Pełny tekst źródłaPrieto, Jose Ramón, David Becerra, Alejandro Hector Toselli, Carlos Alonso i Enrique Vidal. "Segmentation of Large Historical Manuscript Bundles into Multi-page Deeds". W Pattern Recognition and Image Analysis, 121–33. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36616-1_10.
Pełny tekst źródłaBrenner, Simon, Lukas Schügerl i Robert Sablatnig. "Estimating Human Legibility in Historic Manuscript Images - A Baseline". W Document Analysis and Recognition – ICDAR 2021, 492–506. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86334-0_32.
Pełny tekst źródłaFrankot, Edda. "The Legal Context". W Banishment in the Late Medieval Eastern Netherlands, 9–23. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88867-1_2.
Pełny tekst źródłaCornia, Marcella, Stefano Pini, Lorenzo Baraldi i Rita Cucchiara. "Automatic Image Cropping and Selection Using Saliency: An Application to Historical Manuscripts". W Communications in Computer and Information Science, 169–79. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-73165-0_17.
Pełny tekst źródłaStreszczenia konferencji na temat "HISTORICAL MANUSCRIPT IMAGES"
Yin, Xusen, Nada Aldarrab, Beata Megyesi i Kevin Knight. "Decipherment of Historical Manuscript Images". W 2019 International Conference on Document Analysis and Recognition (ICDAR). IEEE, 2019. http://dx.doi.org/10.1109/icdar.2019.00022.
Pełny tekst źródłaRath, Toni M., R. Manmatha i Victor Lavrenko. "A search engine for historical manuscript images". W the 27th annual international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1008992.1009056.
Pełny tekst źródłaJialuo Chen, Mohamed Ali Souibgui, Alicia Fornés i Beáta Megyesi. "Unsupervised Alphabet Matching in Historical Encrypted Manuscript Images". W 4th International Conference on Historical Cryptology HistoCrypt 2020. Linköping University Electronic Press, 2021. http://dx.doi.org/10.3384/ecp183154.
Pełny tekst źródłaElfattah, Mohamed Abd, Aboul Ella Hassanien, Abdalla Mostafa, Ahmed Fouad Ali, Khalid M. Amin i Sherihan Mohamed. "Artificial bee colony optimizer for historical Arabic manuscript images binarization". W 2015 11th International Computer Engineering Conference (ICENCO). IEEE, 2015. http://dx.doi.org/10.1109/icenco.2015.7416357.
Pełny tekst źródłaChen, Kai, Hao Wei, Marcus Liwicki, Jean Hennebert i Rolf Ingold. "Robust Text Line Segmentation for Historical Manuscript Images Using Color and Texture". W 2014 22nd International Conference on Pattern Recognition (ICPR). IEEE, 2014. http://dx.doi.org/10.1109/icpr.2014.514.
Pełny tekst źródłaAmin, Khalid M., Mohamed Abd Elfattah, Aboul Ella Hassanien i Gerald Schaefer. "A binarization algorithm for historical arabic manuscript images using a neutrosophic approach". W 2014 9th International Conference on Computer Engineering & Systems (ICCES). IEEE, 2014. http://dx.doi.org/10.1109/icces.2014.7030970.
Pełny tekst źródłaWolf, Lior, Liza Potikha, Nachum Dershowitz, Roni Shweka i Yaacov Choueka. "Computerized paleography: Tools for historical manuscripts". W 2011 18th IEEE International Conference on Image Processing (ICIP 2011). IEEE, 2011. http://dx.doi.org/10.1109/icip.2011.6116481.
Pełny tekst źródłaWang, Jie, i Chew Lim Tan. "Non-rigid Image Registration for Historical Manuscript Restoration". W 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.557.
Pełny tekst źródłaHu, Bing, Thanawin Rakthanmanon, Bilson Campana, Abdullah Mueen i Eamonn Keogh. "Image Mining of Historical Manuscripts to Establish Provenance". W Proceedings of the 2012 SIAM International Conference on Data Mining. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2012. http://dx.doi.org/10.1137/1.9781611972825.69.
Pełny tekst źródłaXu, Yue, Fei Yin, Zhaoxiang Zhang i Cheng-Lin Liu. "Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks". W Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/147.
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