The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
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Automatic Mood-Transferring between Color Images
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Progressive histogram reshaping for creative color transfer and tone reproduction
NPAR '10 Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering
Data-driven image color theme enhancement
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Fast local color transfer via dominant colors mapping
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Learning moods and emotions from color combinations
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Special Section on CANS: Toward automatic and flexible concept transfer
Computers and Graphics
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Proceedings of the 20th ACM international conference on Multimedia
Example-based video color grading
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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This paper introduces a novel approach to automatic concept transfer; examples of concepts are "romantic", "earthy", and "luscious". The approach modifies the color content of an input image given only a concept specified by a user in natural language, thereby requiring minimal user input. This approach is particularly useful for users who are aware of the message they wish to convey in the transferred image while being unsure of the color combination needed to achieve the corresponding transfer. The user may adjust the intensity level of the concept transfer to his/her liking with a single parameter. The proposed approach uses a convex clustering algorithm, with a novel pruning mechanism, to automatically set the complexity of models of chromatic content. It also uses the Earth-Mover's Distance to compute a mapping between the models of the input image and the target chromatic concept. Results show that our approach yields transferred images which effectively represent concepts, as confirmed by a user study.