OSCAR: On-Site Composition and Aesthetics Feedback through Exemplars for Photographers
Lei Yao, Poonam Suryanarayan, Mu Qiao, James Z. Wang and Jia Li
The Pennsylvania State University
Abstract:
In this paper we describe a comprehensive system to enhance the
aesthetic quality of the photographs captured by the mobile consumers.
The system, named OSCAR, has been designed to provide on-site
composition and aesthetics feedback through retrieved examples. We
introduce three novel interactive feedback components. The first is
the composition feedback which is qualitative in nature and responds
by retrieving highly aesthetic exemplar images from the corpus which
are similar in content and composition to the snapshot. The second is
the color combination feedback which provides confidence on the
snapshot to contain good color combinations. The third component is
the overall aesthetics feedback which predicts the aesthetic ratings
for both color and monochromatic images. An existing algorithm is
used to provide ratings for color images, while new features and a new
model are developed to treat monochromatic images. This system was
designed keeping the next generation photography needs in mind and is
the first of its kind. The feedback rendered is guiding and intuitive
in nature. It is computed in situ while requiring minimal input from
the user.
Full color PDF file (4 MB)
OSCAR On-line demo   
ACQUINE: a related demo   
Springer page   
Citation:
Lei Yao, Poonam Suryanarayan, Mu Qiao, James Z. Wang and Jia Li,
``OSCAR: On-Site Composition and Aesthetics Feedback through Exemplars
for Photographers,'' International Journal of Computer Vision,
vol. 96, no. 3, pp. 353-383, 2012.
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Last Modified:
January 29, 2012
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