Yale University, through the Yale Digital Collections Center (YDC2), and together with its international partners, is working on the development of a world-wide community of interoperable repositories, which provide consistent access to digital representations of the manuscripts in a way that lets scholars easily and consistently view and compare manuscripts from any participating institution. The manuscript images are openly on the web and available in its Content Delivery Service through an IIIF compliant scalable image server. In this scenario, CRS4 will perform research and development of computing tools and techniques to analyze and index such kind of cultural heritage databases. The main goal will be the investigation of methods to perform document layout analysis in the case of a huge heterogeneous corpus of illuminated medieval manuscripts, with different writing styles, languages, and with various problematic attributes, such as holes, spots, ink bleed-through, ornamentation, background noise, and overlapping text lines. Particularly, the aim will be to devise a robust per-book text-line segmentation framework, a technique to order pages within a book on a text density basis, and an interactive framework to search words across a single manuscript.<\/p>\n","protected":false},"featured_media":11881,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-19664","projects","type-projects","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"title":"Layout analysis research","acronym":"YDC2-1","project_uuid":"6199559c-b567-1032-95fe-0030485a3848","start_date":"01\/03\/2014","end_date":"01\/03\/2015","funder":"Yale University","partners":"","team_members":[],"proj_website":"www.crs4.it\/vic\/","project_status":"Completed","project_coordinator":[{"ID":10233,"post_author":"4","post_date":"2025-06-30 17:23:13","post_date_gmt":"2025-06-30 15:23:13","post_content":"Enrico Gobbetti is the director of Visual and Data-intensive Computing (ViDiC) at the Center for Advanced Studies, Research, and Development in Sardinia (CRS4), Italy. He holds an Engineering degree (1989) and a Ph.D. degree (1993) in Computer Science from the Swiss Federal Institute of Technology in Lausanne (EPFL), as well as Full Professor Habilitations in Computer Science and Information Processing from the Italian Ministry of University and Research. Prior to joining CRS4, he held research and\/or teaching positions at the Swiss Federal Institute of Technology in Lausanne, the University of Maryland Baltimore County (UMBC), Baltimore MD, USA, and the Center of Excellence in Space Data and Information Sciences (NASA\/CESDIS), NASA Goddard Space Flight Center, Greenbelt MD, USA. At CRS4, Enrico develops and manages a research program in visual and data-intensive computing supported through institutional, industrial and government grants, including many national and international projects. His research spans many areas of visual and data-intensive computing and is widely published in major journals and conferences. The primary focus is the study and creation of innovative, intelligent, and scalable solutions for acquiring, creating, processing, distributing, exploring, and analyzing complex and\/or massive datasets derived from simulations or measurements of phenomena, objects, environments, or real-world processes. He regularly serves the scientific community through participation in editorial boards, program committees, working groups and steering boards, as well as through the organization and chairing of conferences. He is a Fellow of Eurographics.","post_title":"Enrico Gobbetti","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"enrico-gobbetti","to_ping":"","pinged":"","post_modified":"2026-04-05 20:11:27","post_modified_gmt":"2026-04-05 18:11:27","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/enrico-gobbetti\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10077,"post_author":"4","post_date":"2025-06-30 17:25:26","post_date_gmt":"2025-06-30 15:25:26","post_content":"Ruggero Pintus studied Electronic Engineering at the University of Cagliari in Italy,where he received his master's degree in April 2003. In 2004, he started working as a researcher at the Department of Electrical and Electronic Engineering (DIEE). He received the Ph.D. degree in Electronic and Computer Engineering in 2007, working on Computer Vision algorithms and software applied to Scanning Electron Microscope. He also supported didactic activities. In the same year, he was awarded with an Italian Government Grant, and he worked as a visiting researcher in the Multimedia Communications and Networking Lab at the Hewlett-Packard Laboratories, California, US. His research focused on photometric stereo techniques applied to conventional flatbed scanners. Since November 2007 he has been part of the Visual Computing group of CRS4 (Center for Advanced Studies, Research and Development in Sardinia). His research interests have shifted towards Computer Graphics topics. In particular, the primary focus is the development of algorithms for acquisition, out-of-core processing, time-critical rendering and 3D printing of massive models, mostly applied to large scale color and geometry Cultural Heritage datasets. In 2013 he worked as a Postdoctoral Associate Research Scientist in the Computer Graphics Group at the Yale University. His research focused on 3D model scanning and processing, and on multispectral imaging acquisition and document layout analysis techniques applied to historical, handwritten medieval manuscripts.","post_title":"Ruggero Pintus","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ruggero-pintus","to_ping":"","pinged":"","post_modified":"2026-04-05 20:13:25","post_modified_gmt":"2026-04-05 18:13:25","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/ruggero-pintus\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"\n