Interpretation-driven Visual Association

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Kazjon Grace, Rob Saunders and John Gero: Interpretation-driven Visual Association. In: Computational Creativity 2011 ICCC 2011, pp. 132-134.



In this paper we outline ongoing research into a compu- tational model of association based on the reinterpreta- tion of a source object to fit the target. We describe the structure of the model and the concepts from which it arises. Preliminary results of visual associations made by the system in a simple shape domain are presented. We also discuss a planned application of our model to the analysis of a real-world creative design.

Extended Abstract


author = {Kazjon Grace, Rob Saunders and John Gero},
title = {Interpretation-driven Visual Association},
editor = {Dan Ventura, Pablo Gervás, D. Fox Harrell, Mary Lou Maher, Alison Pease and Geraint Wiggins},
booktitle = {Proceedings of the Second International Conference on Computational Creativity},
series = {ICCC2011},
year = {2011},
month = {April},
location = {México City, México},
pages = {132-134},
url = {, },
publisher = {International Association for Computational Creativity},
keywords = {computational, creativity},

Used References

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