Towards Automatic Concept transfer
Naila Murray, Sandra Skaff, Luca Marchesotti, Florent Perronnin
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.
NPAR : Non-photorealistic Animation and Rendering, Vancouver, Canada, August 5-7, 2011.