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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU131386" target="_blank" >RIV/00216305:26230/19:PU131386 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.fit.vut.cz/research/publication/11878/" target="_blank" >https://www.fit.vut.cz/research/publication/11878/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0007312301990207" target="_blank" >10.5220/0007312301990207</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

ISBN

978-989-758-354-4

ISSN

—

e-ISSN

—

Počet stran výsledku

9

Strana od-do

199-207

Název nakladatele

SciTePress - Science and Technology Publications

Místo vydání

Prague

Místo konání akce

Prague

Datum konání akce

25. 2. 2019

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000668124000017