Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Aligning Video-And Structured Data for Imaging Optimisation

Ivarsson, Jonas ; Almén, Anja LU ; Falkenberg, Mårten ; Lundh, Charlotta and Båth, Magnus (2021) In Radiation Protection Dosimetry 195(3-4). p.134-138
Abstract

Imaging optimisation can benefit from combining structured data with qualitative data in the form of audio and video recordings. Since video is complex to work with, there is a need to find a workable solution that minimises the additional time investment. The purpose of the paper is to outline a general workflow that can begin to address this issue. What is described is a data management process comprising the three steps of collection, mining and contextualisation. This process offers a way to work systematically and at a large scale without succumbing to the context loss of statistical methods. The proposed workflow effectively combines the video and structured data to enable a new level of insights in the optimisation process.

Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Radiation Protection Dosimetry
volume
195
issue
3-4
pages
134 - 138
publisher
Oxford University Press
external identifiers
  • scopus:85118598326
  • pmid:34037218
ISSN
1742-3406
DOI
10.1093/rpd/ncab071
language
English
LU publication?
yes
id
f9342e9f-e2a2-46f4-b57b-56f1fc8de543
date added to LUP
2021-07-09 00:19:45
date last changed
2025-01-13 10:17:23
@article{f9342e9f-e2a2-46f4-b57b-56f1fc8de543,
  abstract     = {{<p>Imaging optimisation can benefit from combining structured data with qualitative data in the form of audio and video recordings. Since video is complex to work with, there is a need to find a workable solution that minimises the additional time investment. The purpose of the paper is to outline a general workflow that can begin to address this issue. What is described is a data management process comprising the three steps of collection, mining and contextualisation. This process offers a way to work systematically and at a large scale without succumbing to the context loss of statistical methods. The proposed workflow effectively combines the video and structured data to enable a new level of insights in the optimisation process.</p>}},
  author       = {{Ivarsson, Jonas and Almén, Anja and Falkenberg, Mårten and Lundh, Charlotta and Båth, Magnus}},
  issn         = {{1742-3406}},
  language     = {{eng}},
  month        = {{05}},
  number       = {{3-4}},
  pages        = {{134--138}},
  publisher    = {{Oxford University Press}},
  series       = {{Radiation Protection Dosimetry}},
  title        = {{Aligning Video-And Structured Data for Imaging Optimisation}},
  url          = {{http://dx.doi.org/10.1093/rpd/ncab071}},
  doi          = {{10.1093/rpd/ncab071}},
  volume       = {{195}},
  year         = {{2021}},
}