Publication detail

Segmentation of Dashboard Screen Images: Preparation of Inputs for Object-based Metrics of UI Quality

HYNEK, J. HRUŠKA, T.

Original Title

Segmentation of Dashboard Screen Images: Preparation of Inputs for Object-based Metrics of UI Quality

English Title

Segmentation of Dashboard Screen Images: Preparation of Inputs for Object-based Metrics of UI Quality

Type

conference paper

Language

en

Original Abstract

Using object-based metrics to analyse design aspects of user interfaces (UI) is a suitable approach for the quantitative evaluation of the visual quality of the user interfaces. Balance or Symmetry are examples of such metrics. On the other hand, we need to deal with the problem of the detection of objects within a user interface screen which represent the inputs for the object-based metrics. Todays user interfaces (e. g., dashboards) are complex. They consist of several colour layers, and it is complicated to segment them by well-known page segmentation methods which are usually used for the segmentation of printed documents. We also need to consider the subjective perception of users and principles of objects grouping (as Gestalt laws). Users usually group simple objects (graphical elements and shapes) into coherent visually dominant objects. We analysed the experience of 251 users manually segmenting the dashboard screens to design a novel method for the segmentation of dashboard screen images. The method initially focuses on the reduction of image colours which represents image layers. Then, it detects the primitives which creates a screen layout. Finally, the method processes the screen layout using the combination of the top-down and bottom-up segmentation strategy and detects visually dominant regions.

English abstract

Using object-based metrics to analyse design aspects of user interfaces (UI) is a suitable approach for the quantitative evaluation of the visual quality of the user interfaces. Balance or Symmetry are examples of such metrics. On the other hand, we need to deal with the problem of the detection of objects within a user interface screen which represent the inputs for the object-based metrics. Todays user interfaces (e. g., dashboards) are complex. They consist of several colour layers, and it is complicated to segment them by well-known page segmentation methods which are usually used for the segmentation of printed documents. We also need to consider the subjective perception of users and principles of objects grouping (as Gestalt laws). Users usually group simple objects (graphical elements and shapes) into coherent visually dominant objects. We analysed the experience of 251 users manually segmenting the dashboard screens to design a novel method for the segmentation of dashboard screen images. The method initially focuses on the reduction of image colours which represents image layers. Then, it detects the primitives which creates a screen layout. Finally, the method processes the screen layout using the combination of the top-down and bottom-up segmentation strategy and detects visually dominant regions.

Keywords

dashboard, page segmentation, object-based metric

Released

27.02.2019

Publisher

SciTePress - Science and Technology Publications

Location

Prague

ISBN

978-989-758-354-4

Book

Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

Edition

Volume 3: IVAPP

Edition number

NEUVEDEN

Pages from

199

Pages to

207

Pages count

9

URL

BibTex


@inproceedings{BUT155934,
  author="Jiří {Hynek} and Tomáš {Hruška}",
  title="Segmentation of Dashboard Screen Images: Preparation of Inputs for Object-based Metrics of UI Quality",
  annote="Using object-based metrics to analyse design aspects of user interfaces (UI) is
a suitable approach for the quantitative evaluation of the visual quality of the
user interfaces. Balance or Symmetry are examples of such metrics. On the other
hand, we need to deal with the problem of the detection of objects within a user
interface
screen which represent the inputs for the object-based metrics. Todays user
interfaces (e. g., dashboards) are complex. They consist of several colour
layers, and it is complicated to segment them by well-known page segmentation
methods which are usually used for the segmentation of printed documents. We also
need to consider the subjective perception of users and principles of objects
grouping (as Gestalt laws). Users usually group simple objects (graphical
elements and shapes) into coherent visually dominant objects. We analysed the
experience of 251 users manually segmenting the dashboard screens to design
a novel method for the segmentation of dashboard screen images. The method
initially focuses on the reduction of image colours which represents image
layers. Then, it detects the primitives which creates a screen layout. Finally,
the method processes the screen layout using the combination of the top-down and
bottom-up segmentation strategy and detects visually dominant regions.",
  address="SciTePress - Science and Technology Publications",
  booktitle="Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",
  chapter="155934",
  doi="10.5220/0007312301990207",
  edition="Volume 3: IVAPP",
  howpublished="print",
  institution="SciTePress - Science and Technology Publications",
  year="2019",
  month="february",
  pages="199--207",
  publisher="SciTePress - Science and Technology Publications",
  type="conference paper"
}