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Full-Text Articles in Arts and Humanities
Application Of The Image Analysis For Archival Discovery Team’S First- Generation Methods And Software To The Burney Collection Of British Newspapers, Elizabeth Lorang, Leen-Kiat Soh, Chulwoo Pack, Yi Liu, Delaram Rahimighazikalayeh, John O'Brien
Application Of The Image Analysis For Archival Discovery Team’S First- Generation Methods And Software To The Burney Collection Of British Newspapers, Elizabeth Lorang, Leen-Kiat Soh, Chulwoo Pack, Yi Liu, Delaram Rahimighazikalayeh, John O'Brien
CDRH Grant Reports
The current study, “Application of the Image Analysis for Archival Discovery Team’s First- Generation Methods and Software to the Burney Collection of British Newspapers,” is the first test of our approaches—methods and software—to a different newspaper corpus, specifically the 17th and 18 Century Burney Newspapers Collection. This study stands as the first complete attempt at applying Aida’s software and methods to non-Chronicling America newspapers, as a step toward understanding the potential of our approaches across digitized historic newspapers. In taking this step, our goals were (1) to test how well the software and a classifier model developed on Chronicling America …
Interim Performance Report, Lg‐71‐16‐0152‐16, Extending Intelligent Computational Image Analysis For Archival Discovery, March 2019, Elizabeth Lorang, Leen-Kiat Soh, John O'Brien
Interim Performance Report, Lg‐71‐16‐0152‐16, Extending Intelligent Computational Image Analysis For Archival Discovery, March 2019, Elizabeth Lorang, Leen-Kiat Soh, John O'Brien
CDRH Grant Reports
The primary goal of "Extending Intelligent Computational Image Analysis for Archival Discovery" is to investigate the use of image analysis as a methodology for content identification, description, and information retrieval in digital libraries and other digitized collections. Building on work started under a National Endowment for the Humanities' Office of Digital Humanities Start-up Grant, our IMLS project seeks to 1) analyze and verify our previously developed image analysis approach and extend it so that it is newspaper agnostic, type agnostic, and language agnostic; 2) scale and revise the intelligent image analysis approach and determine the ideal balance between precision and …
White Paper, Hd-51897-14, Image Analysis For Archival Discovery (Aida), October 2016, Elizabeth M. Lorang, Leen-Kiat Soh
White Paper, Hd-51897-14, Image Analysis For Archival Discovery (Aida), October 2016, Elizabeth M. Lorang, Leen-Kiat Soh
CDRH Grant Reports
With its Office of Digital Humanities Start-up Grant, the Image Analysis for Archival Discovery (Aida) team set out to further develop image analysis as a methodology for the identification and retrieval of items of relevance within digitized collections of historic materials.1 Specifically, we sought to identify poetic content within historic newspapers, using Chronicling America's newspapers (http://chroniclingamerica.loc.gov/) as our test case. The project activities we undertook—both those completed and those in process—support this goal and align well with the activities proposed in our original funding application and as approved by NEH. To achieve our goal of creating an image processing-based system …
Final Report, Hd-51897-14, Image Analysis For Archival Discovery (Aida), October 2016, Elizabeth M. Lorang, Leen-Kiat Soh
Final Report, Hd-51897-14, Image Analysis For Archival Discovery (Aida), October 2016, Elizabeth M. Lorang, Leen-Kiat Soh
CDRH Grant Reports
With its Office of Digital Humanities Start-up Grant, the Image Analysis for Archival Discovery (Aida) team set out to further develop image analysis as a methodology for the identification and retrieval of items of relevance within digitized collections of historic materials. Specifically, we sought to identify poetic content within historic newspapers, using Chronicling America's newspapers (http://chroniclingamerica.loc.gov/) as our test case. The project activities we undertook—both those completed and those in process—support this goal and align well with the activities proposed in our original funding application and as approved by NEH. To achieve our goal of creating an image processing-based system …
The Girl With The Fur Coat, Cameron S. Steele
The Girl With The Fur Coat, Cameron S. Steele
Department of English: Dissertations, Theses, and Student Research
THE GIRL WITH THE FUR COAT thesis is comprised of 40 poems and a five-page introduction that examine – with equal parts intimacy and distance – how interior and exterior violence threatens female subjecthood, as well as how girlhood is always – and will always be – transforming the female self. The thesis produces this intimate-yet-distancing effect through a close attention to the (primarily free-verse) forms of the individual poems and how those forms interact with the poems’ subjects, bodies, Surrealist moments and fabulist imagery. Also, the arrangement of the poems helps to create a sense of close, disturbing conversation …
Developing An Image-Based Classifier For Detecting Poetic Content In Historic Newspaper Collections, Elizabeth M. Lorang, Leen-Kiat Soh, Maanas Varma Datla, Spencer Kulwicki
Developing An Image-Based Classifier For Detecting Poetic Content In Historic Newspaper Collections, Elizabeth M. Lorang, Leen-Kiat Soh, Maanas Varma Datla, Spencer Kulwicki
UNL Libraries: Faculty Publications
"Developing an Image-Based Classifier for Detecting Poetic Content in Historic Newspaper Collections" details and analyzes the first stage of work of the Image Analysis for Archival Discovery project team. Our team is is investigating the use of image analysis to identify poetic content in historic newspapers. The project seeks both to augment the study of literary history by drawing attention to the magnitude of poetry published in newspapers and by making the poetry more readily available for study, as well as to advance work on the use of digital images in facilitating discovery in digital libraries and other digitized collections. …