Visualizing Patterns in Art, Games, Comics, Photography, Cinema, Animation, and Print Media
December 14, 2010
Daniela Ushizima, Lev Manovich, and Jeremy Douglass in front of Hopper.
Lev Manovich, University of California, San Diego
Jeremy Douglass, University of California, San Diego
The explosive growth of cultural content on the web including social media and the digitization work by museums, libraries, and companies make possible a fundamentally new paradigm for the study of culture and media. We can use computer-based techniques for data analysis and interactive visualization already employed in sciences to analyze patterns and trends in massive cultural data sets. We call this paradigm Cultural Analytics.
We will show examples of our visualizations of patterns in art, film, animation, video games, magazines, literature and comics created in our lab (softwarestudies,com) situated at University of California, San Diego (UCSD) and California Institute of Telecommunication and Information (Calit2). We will also discuss in detail our work on the analysis and visualization of our 1 million Manga pages which used the supercomputers at (NERSC; funded by NEH Humanities High Performance Computing program) and 215 megapixel HIPerSpace display developed at Calit2.
About NERSC and Berkeley Lab
The National Energy Research Scientific Computing Center (NERSC) is the primary high-performance computing facility for scientific research sponsored by the U.S. Department of Energy's Office of Science. Located at Lawrence Berkeley National Laboratory, the NERSC Center serves more than 4,000 scientists at national laboratories and universities researching a wide range of problems in combustion, climate modeling, fusion energy, materials science, physics, chemistry, computational biology, and other disciplines. Berkeley Lab is a U.S. Department of Energy national laboratory located in Berkeley, California. It conducts unclassified scientific research and is managed by the University of California for the U.S. DOE Office of Science. For more information about computing sciences at Berkeley Lab, please visit www.lbl.gov/cs.
