BibTex Entry:

@article{WIN06:VideoAbstraction,
 author = {Holger Winnem\"{o}eller and Sven C. Olsen and Bruce Gooch},
 title = {Real-time video abstraction},
 journal = {ACM Trans. Graph.},
 volume = {25},
 number = {3},
 year = {2006},
 issn = {0730-0301},
 pages = {1221--1226},
 doi = {http://doi.acm.org/10.1145/1141911.1142018},
 publisher = {ACM Press},
 abstract  = {We present an automatic, real-time video and image abstraction 
              framework that abstracts imagery by modifying the contrast of 
              visually important features, namely luminance and color 
              opponency. We reduce contrast in low-contrast regions using 
              an approximation to anisotropic diffusion, and artificially 
              increase contrast in higher contrast regions with difference-
              of-Gaussian edges. The abstraction step is extensible and 
              allows for artistic or data-driven control. Abstracted images 
              can optionally be stylized using soft color quantization to 
              create cartoon-like effects with good temporal coherence. Our 
              framework design is highly parallel, allowing for a GPU-based, 
              real-time implementation. We evaluate the effectiveness of our 
              abstraction framework with a user-study and find that 
              participants are faster at naming abstracted faces of known 
              persons compared to photographs. Participants are also better 
              at remembering abstracted images of arbitrary scenes in a 
              memory task.},
 address = {New York, NY, USA}
 }