HIP'23: 7th International Workshop on Historical Document Imaging and Processing (HIP’23) San José, CA, United States, August 24-25, 2023 |
Conference website | https://blog.sbb.berlin/hip2023/ |
Submission link | https://easychair.org/conferences/?conf=hip23 |
Abstract registration deadline | April 28, 2023 |
Submission deadline | April 28, 2023 |
Call for Papers: 7th International Workshop on Historical Document Imaging and Processing (HIP’23) August 24, 2023, San José, California, USA
It is our pleasure to announce that the 7th International Workshop on Historical Document Imaging and Processing (HIP’23) will be held in conjunction with ICDAR2023, on August 24th, 2023 in San José, USA.
The workshop brings together researchers working with historical documents and intends to be complementary and synergistic to the work in analysis and recognition featured in the main sessions of ICDAR, the premier international forum for researchers and practitioners in the document analysis community.
This is the seventh satellite workshop of ICDAR dedicated to this topic, following HIP’11 in Beijing, HIP’13 in Washington, HIP’15 in Nancy, HIP’17 in Kyoto and HIP’19 in Sydney and HIP’21 in Lausanne (hybrid) that were a significant success with strong participation. The workshop is planned for 1½-days with oral presentations, a keynote talk, and a guided tour (to be confirmed). Each submission will undergo peer-review and distinguished submissions will be presented orally.
HIP aims to provide the researchers with a forum that is complementary and synergetic to the main sessions at ICDAR on document analysis and recognition. The manifold topics addressed in this workshop encompass the entire processing chain from image acquisition to information extraction. We include the growing importance of machine learning in this processing chain, and we encourage the presentation of entire projects in the context of historical documents.
Submission Guidelines
Submissions are received until April 28, 2023 (Time zone: Anywhere on Earth) via Easychair and undergo review by the members of the Program Committee. All papers must be original and not simultaneously submitted to another journal or conference.
Papers must not exceed 6 pages in length (including references). It is not required to anonymize the submission, but authors are welcome to do so if they prefer it. Acceptance notifications will be sent out June 1, 2023.
Accepted camera-ready submissions should be sent by July 9, 2023 as PDF via email to hip2023@primaresearch.org for publication in the ACM Digital Library (see also the Proceedings of previous editions).
Authors should use the current ACM SIG Conference Proceedings Template to prepare their papers. Note that ACM has created a new LaTeX template and updated the existing Word templates. Authors also need to apply the ACM Computing Classification System (CCS) according to the ACM SIG Conference Proceedings Template.
List of Topics
-
Imaging and Image Acquisition
- Imaging for fragile materials
- Multispectral imaging
- Camera-based/non-invasive acquisition
- Case studies/applications
- Digital Archiving Considerations
- Compression issues
- Measuring essential resolution (colour, spatial) and metadata
- Modelling of document image degradation
- Historical Collections
- Military records, personal journals, church records, medieval manuscripts, etc.
- Scientific, technical and educational documents
- Government archives, documents from the world cultural heritage, multi-language
-
Document Restoration/Improving readability
- Removing or minimizing damages, defects, ink-bleed
- Completing and filling in missing pieces based on context, prior knowledge
- Machine-learning algorithms for enhancement based on example images
- Interactive tools from a user viewpoint
- Learning from user-directed image enhancement
-
Document Content Acquisition
- Automated or semi-automated transcription (OCR, OLR)
- Machine-learning algorithms for content extraction, including recurrent neural networks, auto-encoders, transformers, and unsupervised feature learning
- Content recognition based on surrounding and supporting context
- Annotation
- Evaluation metrics and methods
- Ontologies for modelling historical document content
- Content-based retrieval
-
Family History Documents and Genealogies
- Personal, Family, National and Historical Collections of Family Genealogy and Histories
- Extracting and linking names, dates, places, etc.
- Extracting, linking and piecing together personal and family histories and narratives
- Discovering historical social networks
-
Automated Classification, Grouping and Hyperlinking of Historical Documents
- Style identification (of printed text/handwriting, dating or author identification)
- Searching for documents over the internet
- Web-based navigation within/among document images
- Search/query, retrieval, summarization or condensation of document images
- Document collecting, clustering, linking and analysis technologies
- Parallel tagging of images, transcripts, and other document layers
-
Digital Humanities applications of document analysis and recognition
- Computer Vision for Computational History
- Digital methods and tools for the study of historical documents
- Crowdsourcing
-
Natural Language Processing for Historical Documents
- Lemmatization, Part-of-speech tagging, Stemming
- Information extraction: named entity recognition, disambiguation and linking, reference extraction, relationship extraction
- Semantic Parsing
- Sentiment Analysis
- Text Summarization
Committees
Program Committee
- TBD
Organizing committee
- General Chair: Clemens Neudecker
- HIP Series Chair: Apostolos Antonacopoulos
- Programme Chair: Maud Ehrmann
- Programme Chair: Christian Clausner
- Publications Chair: Kai Labusch
- Local Arrangements Chair: Randy Wilson
- Honorary Chair: William Barrett
Publication
HIP'23 proceedings are foreseen to be published in the ACM Digital Library (see also the Proceedings of previous editions).
Venue
The conference will be held in San José, California, US.
Contact
All questions about submissions should be emailed to hip2023@primaresearch.org.