Temporally Stable Boundary Labeling for Interactive and Non-Interactive Dynamic Scenes

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APU138925" target="_blank" >RIV/00216305:26230/20:PU138925 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/20:00343535
Result on the web
<a href="http://cphoto.fit.vutbr.cz/interactive-labeling/" target="_blank" >http://cphoto.fit.vutbr.cz/interactive-labeling/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.cag.2020.08.005" target="_blank" >10.1016/j.cag.2020.08.005</a>

Result language
angličtina
Original language name
Temporally Stable Boundary Labeling for Interactive and Non-Interactive Dynamic Scenes
Original language description
We propose two novel temporally stable screen-space labeling methods for dynamic scenes. The first one is suitable for offline processing of the entire interaction or the video in advance. The second method is designed for interactive applications. The main idea of our proposed methods is to minimize the vertical and horizontal movement of the labels during the interaction with the scene (e.g., zooming or translating the camera). According to the results of quantitative evaluation, our labeling is more stable during the interaction than labeling produced by the current state of the art. Moreover, participants of a comprehensive user study declared that the labeling produced by the proposed methods allows them to follow moving labels significantly more accurately, and it is significantly more pleasing than with previously published methods. Furthermore, the proposed methods can be extended by the prominence of the features and easily parameterized to fit different requirements to the label layout.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/LTAIZ19004" target="_blank" >LTAIZ19004: Deep-Learning Approach to Topographical Image Analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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