Self-Supervised Color-Concept Association via Image Colorization

The interpretation of colors in visualizations is facilitated when the assignments between colors and concepts in the visualizations match human's expectations, implying that the colors can be interpreted in a semantic manner. However, manually creating a dataset of suitable associations betwee...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics 2023-01, Vol.29 (1), p.247-256
Hauptverfasser:	Hu, Ruizhen, Ye, Ziqi, Chen, Bin, van Kaick, Oliver, Huang, Hui
Format:	Artikel
Sprache:	eng
Schlagworte:	Aggregates Color Color-concept association Colorization Data mining EMD Feature extraction Image color analysis Learning Libraries Probability distribution Ratings Semantics Statistical analysis Statistical models
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