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PADIR: Paper-Digital System for Information Capture and Retrieval.
Third-party funded project
Project title PADIR: Paper-Digital System for Information Capture and Retrieval.
Principal Investigator(s) Schuldt, Heiko
Project Members El-Kabary, Ihab
Organisation / Research unit Faculty of Science,
Departement Mathematik und Informatik / Informatik,
Departement Mathematik und Informatik / Databases and Information Systems (Schuldt)
Project Website http://dbis.cs.unibas.ch/projects/ongoing-projects/pad-ir/dbis_project_view
Project start 01.10.2009
Probable end 30.09.2011
Status Completed
Abstract

The PAD-IR project will extend the notion of paper-digital retrieval systems beyond that of a paper-based interface to an information retrieval (IR) system in order to truly bridge the paper-digital divide by allowing retrieval across different forms of media, including handwritten notes and sketches. Thus, it will not simply be a case of formulating queries on paper, but also being able to digitally capture information on paper and link it to various forms of digital media based on the semantics of that information and also the context in which it was captured. Objects need to be managed together with their metadata including links between objects, the context of their acquisition and content features. Retrieval may then be based on queries specified digitally or on paper, or even some combination of both. Since queries might encompass several media types and the additional object meta data, dedicated algorithms to effectively search in these media types have to be available as basic building blocks. Query processing will consist of the automatic, individual composition of the necessary building blocks, in a way which is completely transparent to the user.

The application settings that PAD-IR will explore will include various kinds of meeting scenarios as well as post-meeting retrieval of information. During meetings, users often work with several paper and digital documents including handwritten notes taken by individual participants, sketches used as part of collaborative design processes and presentation tools. Although there are existing tools to help record meeting sessions, they tend to focus either  on digital recordings such as a combination of audio, video and presentations or solely on the recording of handwritten notes synchronised with audio recordings. Our goal is to allow participants in a meeting to work with a combination of paper documents and digital media, recording activities across all media in such a way that users can later retrieve information based on keyword search, similarity search (e.g. by using handwritten sketches), timeline or association.

Financed by Swiss National Science Foundation (SNSF)
Follow-up project of 5843 Query by Sketching (QbS)

Published results ()

  ID Autor(en) Titel ISSN / ISBN Erschienen in Art der Publikation
1444542  Al Kabary, Ihab; Schuldt, Heiko  SKETCHify - an adaptive prominent edge detection algorithm for optimized query-by-sketch image retrieval  978-3-319-12092-8    Publication: ConferencePaper (Artikel, die in Tagungsbänden erschienen sind) 
1444539  Al Kabary, Ihab; Schuldt, Heiko  Sketch-based image similarity search with a pen and paper interface  978-1-4503-1472-5    Publication: ConferencePaper (Artikel, die in Tagungsbänden erschienen sind) 
1444474  Springmann, Michael  Building Blocks for Adaptable Image Search in Digital Libaries      Publication: Thesis (Dissertationen, Habilitationen) 
1444512  Giangreco, Ivan; Springmann, Michael; Al Kabary, Ihab; Schuldt, Heiko  A user interface for query-by-sketch based image retrieval with color sketches  0302-9743 ; 978-3-642-28996-5 ; 978-3-642-28997-2    Publication: ConferencePaper (Artikel, die in Tagungsbänden erschienen sind) 
1444511  Kreuzer, Roman; Springmann, Michael; Al Kabary, Ihab; Schuldt, Heiko  An interactive paper and digital pen interface for query-by-sketch image retrieval  978-3-642-28997-2 (E-Book) ; 978-3-642-28996-5 (Print)    Publication: ConferencePaper (Artikel, die in Tagungsbänden erschienen sind) 
361165  Springmann, Michael; Al Kabary, Ihab; Schuldt, Heiko  Image Retrieval at Memory’s Edge: Known Image Search based on User-Drawn Sketches      Publication: ConferencePaper (Artikel, die in Tagungsbänden erschienen sind) 
227419  Springmann, Michael; Kopp, Dietmar; Schuldt, Heiko  QbS - Searching for Known Images using User-Drawn Sketches      Publication: ConferencePaper (Artikel, die in Tagungsbänden erschienen sind) 
361166  Springmann, Michael; Al Kabary, Ihab; Schuldt, Heiko  Experiences with QbS : challenges and evaluation of known image search based on user-drawn sketches      Publication: Other Publications (Forschungsberichte o. ä.) 
   

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29/04/2024