Colormap optimization with data equality

Wang, Xiaohui; Yin, Jiawei; Cheng, Bowen; Qin, Jingyan

doi:10.1007/s12650-020-00691-6

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…This is true for visual exhibitions based on digital signage technologies, including interactive guide maps (Li et al 2020) and large information walls (Chen et al 2021). Color map design has been another essential target for optimization (Wang et al 2021) to improve perceptual experiences in visual interaction.…”

Section: Pattern Layout Optimizationmentioning

confidence: 99%

Gaze-driven placement of items for proactive visual exploration

Takahashi

Uchita

Watanabe

2021

J Vis

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Recent advances in digital signage technology have improved the ability to visually select specific items within a group. Although this is due to the ability to dynamically update the display of items, the corresponding layout schemes remain a subject of research. This paper explores the sophisticated layout of items by respecting the underlying context of searching for favorite items. Our study begins by formulating the static placement of items as an optimization problem that incorporates aesthetic layout criteria as constraints. This is further extended to accommodate the dynamic placement of items for more proactive visual exploration based on the ongoing search context. Our animated layout is driven by analyzing the distribution of eye gaze through an eye-tracking device, by which we infer how the most attractive items lead to the finally wanted ones. We create a planar layout of items as a context map to establish association rules to dynamically replace existing items with new ones. For this purpose, we extract the set of important topics from a set of annotated texts associated with the items using matrix factorization. We also conduct user studies to evaluate the validity of the design criteria incorporated into both static and dynamic placement of items. After discussing the pros and cons of the proposed approach and possible themes for future research, we conclude this paper.

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Section: Pattern Layout Optimizationmentioning

confidence: 99%

Gaze-driven placement of items for proactive visual exploration

Takahashi

Uchita

Watanabe

2021

J Vis

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“…Given the intricate relationship between perception biases and data visualization, numerous studies have explored the impact of different colormaps on the visualization and representation of identical 2D data [9], the creation of task-customized colormaps [10][11][12][13], as well as the best way to build a color-based representation [14][15][16][17]. Conventional colormaps, featuring diverse spectral arrangements, have the potential to elicit varied perceptual responses due to the interplay of color and luminance gradients.…”

Section: Introductionmentioning

confidence: 99%

Single-Image Multi-Parametric Representation of Optical Properties through Encodings to the HSV Color Space

Mieites,

Gutiérrez-Gutiérrez,

López-Higuera

et al. 2023

Applied Sciences

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The visualization of 2D clinical data often relies on color-coded images, but different colormaps can introduce cognitive biases, impacting result interpretation. Moreover, when using color for diagnosis with multiple biomarkers, the application of distinct colormaps for each parameter can hinder comparisons. Our aim was to introduce a visualization technique that utilizes the hue (H), saturation (S), and value (V) in a single image to convey multi-parametric data on various optical properties in an effective manner. To achieve this, we conducted a study involving two datasets, one comprising multi-modality measurements of the human aorta and the other featuring multiple parameters of dystrophic mice muscles. Through this analysis, we determined that H is best suited to emphasize differences related to pathology, while V highlights high-spatial-resolution data disparities, and color alterations effectively indicate changes in chemical component concentrations. Furthermore, encoding structural information as S and V within the same image assists in pinpointing the specific locations of these variations. In cases where all data are of a high resolution, H remains the optimal indicator of pathology, ensuring results’ interpretability. This approach simplifies the selection of an appropriate colormap and enhances the ability to grasp a sample’s characteristics at a single glance.

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An intelligent approach to automatically discovering visual insights

Zhou

Meng

et al. 2022

J Vis

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Colormap optimization with data equality

Cited by 5 publications

References 25 publications

Gaze-driven placement of items for proactive visual exploration

Gaze-driven placement of items for proactive visual exploration

Single-Image Multi-Parametric Representation of Optical Properties through Encodings to the HSV Color Space

An intelligent approach to automatically discovering visual insights

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