Call for Papers

It is our pleasure to announce that the 7th International Workshop on Historical Document Imaging and Processing (HIP’23) will be held in conjunction with ICDAR2023, on August 25th, 2023 in San José, USA.

The workshop brings together researchers working with historical documents and intends to be complementary and synergistic to the work in analysis and recognition featured in the main sessions of ICDAR, the premier international forum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.

Submissions are received until May 12, 2023 (Time zone: Anywhere on Earth) via Easychair and undergo review by the members of the Program Committee.

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 16, 2023.

To prepare your camera-ready submissions, please follow the instructions provided per ACM email and upload your submission files to the TAPS system by July 9, 2023 for publication in the ACM Digital Library (see also the Proceedings of previous editions).

Authors should use the current ACM SIG Conference Proceedings Template (specifically the ’sample-sigconf‘ template) to prepare their papers. Note that ACM has created a new LaTeX template and updated the existing Word templates. For Overleaf, the according template can be found here. Authors also need to apply the ACM Computing Classification System (CCS) according to the ACM SIG Conference Proceedings Template.

Workshop topics include (but are not limited to):

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, 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

For work focusing on handwriting/paleography, we recommend you have a look at IWCP2023.