Difference between revisions of "Tools: Collaboration with Transkribus"
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===Goals=== | ===Goals=== | ||
| − | * | + | * Structure and provide a data set to the Alan Turing Institute for a proposed Data Study Group, April |
| + | ---- | ||
| + | ===Sample data=== | ||
| + | |||
| + | [[File:Owners Adventure Literacy 06022018.JPG|600px|thumb|left|Eleven signatures and one marke from mariners & landsmen on board the English whaling ship the Owners Adventure, 1656 - Could AI be used to categorise these signatures & markes visually and to relate any groupings to occupational, residential, age or other data?]] | ||
| + | |||
| + | [[File:Morecocke 04022018.JPG|600px|thumb|left|Signatures of Nathaniel Morecocke at ages of thirty-one and forty-one, High Court of Admiralty]] | ||
| + | |||
---- | ---- | ||
===Methodology=== | ===Methodology=== | ||
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==Transkribus background== | ==Transkribus background== | ||
| − | [[File:Transkribus Key Figures 06022018.JPG| | + | [[File:Transkribus Key Figures 06022018.JPG|600px|thumb|left|Transkribus Key Figures, slide from [https://www.youtube.com/watch?v=_7V8iXFzx_E&feature=youtu.be Günter Mühlberger, Presentation: Transkribus - the status quo and future plans, Youtube video, pub. Jan 23. 2018]]] |
Revision as of 14:40, February 6, 2018
MarineLives is structuring a project with the READ/Transkribus project team to explore key word spotting technology applied to English language legal records from the early and mid-C17th. The project is planned to start in April 2018 and to run through to October 2018.
We are also exploring the use of Transkribus tools to scan signatures and markes at the bottom of High Court of Admiralty depositions as input to a proposed April 2018 Data Study Group with the Alan Turing Institute.
Contents
Key word spotting
Goals
- Build and test an interface for historical researchers to interact with Transkribus key word spotting technology.
- Searching for words in the image, not the text rendered transcription
Methodology
[ADD DATA]
Team
Colin Greenstreet (MarineLives)
Michael Bennett (Sheffield)
Opportunities to get involved
[ADD DATA]
Bibliography
Günter Mühlberger, Presentation: Transkribus - the status quo and future plans, Youtube video, pub. Jan 23. 2018[1]
Transkribus/VCG-DUTH-Word_Spotting_By_Example, Github, 2018[2]
Interactive Keywords Spotting Tool, showcased at European Researchers' Night, READ blog entry, Oct. 23, 2017[3]
K. Zagoris, I. Pratikakis and B. Gatos, "Segmentation-Based Historical Hand-written Word Spotting Using Document-Specific Local Features," 2014 14th In-ternational Conference on Frontiers in Handwriting Recognition, Heraklion, 2014, pp. 9-14.
K. Zagoris, I. Pratikakis, and B. Gatos, “A framework for efficient transcription of historical documents using keyword spotting,” in Historical Document Imaging and Processing (HIP’15), 3rd International Workshop on, August 2015, pp. 9–14.
K. Zagoris, I. Pratikakis, B. Gatos. 2017 Unsupervised Word Spotting in Histori-cal Handwritten Document Images using Document-oriented Local Features. Transactions on Image Processing. Under Review.
Signature/Marke recognition
Goals
- Structure and provide a data set to the Alan Turing Institute for a proposed Data Study Group, April
Sample data
Methodology
[ADD DATA]
Team
Colin Greenstreet (MarineLives)
Opportunities to get involved
[ADD DATA]
Bibliography
[ADD DATA]
Transkribus background
- ↑ Günter Mühlberger, Presentation: Transkribus - the status quo and future plans, Youtube video, pub. Jan 23. 2018, accessed 06/02/2018
- ↑ Transkribus/VCG-DUTH-Word_Spoting_By_Example, Github, 2018, accessed 06/02/2018
- ↑ Interactive Keywords Spotting Tool, showcased at European Researchers' Night, READ blog entry, Oct. 23, 2017, accessed 06/02/2018
