1. Ying Cao , Antoni B. Chan , and Rynson W . H. Lau. 2017 . Mining Probabilistic Color Palettes for Summarizing Color Use in Artwork Collections. In SIGGRAPH Asia 2017 Symposium on Visualization ( Bangkok, Thailand) (SA ’17). Association for Computing Machinery, New York, NY, USA, Article 1, 8 pages. https://doi.org/10.1145/3139295.3139296 10.1145/3139295.3139296 Ying Cao, Antoni B. Chan, and Rynson W. H. Lau. 2017. Mining Probabilistic Color Palettes for Summarizing Color Use in Artwork Collections. In SIGGRAPH Asia 2017 Symposium on Visualization (Bangkok, Thailand) (SA ’17). Association for Computing Machinery, New York, NY, USA, Article 1, 8 pages. https://doi.org/10.1145/3139295.3139296
2. KALMUS: tools for color analysis of films
3. Color image quantization for frame buffer display
4. Yu-Chen Hu and Ming-Gong Lee . 2007. K-means-based color palette design scheme with the use of stable flags. J. Electronic Imaging 16 (07 2007 ), 033003. https://doi.org/10.1117/1.2762241 10.1117/1.2762241 Yu-Chen Hu and Ming-Gong Lee. 2007. K-means-based color palette design scheme with the use of stable flags. J. Electronic Imaging 16 (07 2007), 033003. https://doi.org/10.1117/1.2762241
5. Marina Ivašić-Kos Miran Pobar and Luka Mikec. 2014. Movie posters classification into genres based on low-level features. 1198-1203. https://doi.org/10.1109/MIPRO.2014.6859750 10.1109/MIPRO.2014.6859750