A Pig, an Angel and a Cactus Walk Into a Blender: A Descriptive Approach to Visual Blending
This work addresses the challenge of visual blending for creative or computational design applications, but it appears incremental as it builds on existing blending concepts with a hybrid method.
The paper tackles the problem of automatically generating visual blends by presenting a descriptive approach that uses structured visual representations and relations to create analogies from input mental spaces, resulting in well-composed and sometimes unexpected blends.
A descriptive approach for automatic generation of visual blends is presented. The implemented system, the Blender, is composed of two components: the Mapper and the Visual Blender. The approach uses structured visual representations along with sets of visual relations which describe how the elements (in which the visual representation can be decomposed) relate among each other. Our system is a hybrid blender, as the blending process starts at the Mapper (conceptual level) and ends at the Visual Blender (visual representation level). The experimental results show that the Blender is able to create analogies from input mental spaces and produce well-composed blends, which follow the rules imposed by its base-analogy and its relations. The resulting blends are visually interesting and some can be considered as unexpected.