On understanding the search problem for image spaces

Aus de_evolutionary_art_org
Wechseln zu: Navigation, Suche


Greenfield, G.R. (1999). On understanding the search problem for image spaces. In: BRIDGES: Mathematical Connections in Art, Music and Science.



We consider the problem of analyzing the visual imagery that can be found in a neighborhood of just one image selected from a visual image space. The image space we shall explore is a variant of the space of "expressions" as formulated by Karl Sims. Sims' expressions are rooted trees that can be manipulated and searched using the art-by-choice technique known as "evolving expressions." We present a search methodology and give examples from the catalog of imagery we obtained in searching a neighborhood of a fixed image which contained in excess of 10 20 instances of possible images. We draw conclusions about what this portends for future work on search engines developed for exploring artistically non-linear spaces.

Extended Abstract


Used References

[1] Margaret A. Boden, Agents and creativity, Communications of the ACM, 37 No.7 (July, 1994), 117-121.

[2] Richard Dawkins, The evolution of evolvability, 201-220, Artificial Life, Christopher Langton (ed.), Addison Wesley, Reading, MA 1989.

[3] Gary Greenfield, An algorithmic palette tool, UR Technical Report TR-94-02, 1994.

[4] Gary Greenfield, Graphical evolution experiments in artificial life, UR Technical Report, TR- 93-01, 1993.

[5] Gary Greenfield, New directions for evolving expressions, Bridges: Mathematical Connections in Art, Music, and Science; Conference Proceedings 1998 (ed. R. Sarhangi), Gilliland Printing, 1998, 29-36.

[6] Aladin Ibrahim, GenShade, Ph.D. Dissertation, Texas A&M University, 1998.

[7] Lev Manovich, The engineering of vision and the aesthetics of computer art, Computer Graph- ics, 28 No.4 (November, 1994) 259-263.

[8] Karl Sims, Artificial evolution for computer graphics, Computer Graphics, 25 (1991) 319-328.

[9] Steven Todd & William Latham, Evolutionary Art and Computers, Academic Press, San Diego, CA 1992.

[10] Steven Todd & William Latham, Mutator, a subjective interface for evolution of computer sculpture, IBM UKSC Report 248, 1991.

[11] David Voss, Sex is best, WIRED, Qecember, 1995, 156-157.


Full Text


intern file

Sonstige Links