TY - JOUR
T1 - OSCAR
T2 - On-site composition and aesthetics feedback through exemplars for photographers
AU - Yao, Lei
AU - Suryanarayan, Poonam
AU - Qiao, Mu
AU - Wang, James Z.
AU - Li, Jia
N1 - Funding Information:
Acknowledgements We thank the reviewers and editors for their comments and suggestions. Undergraduate students Razvan Oren-dovici, John Schleicher, and David Zhang assisted in the prototype development. This material is based upon work supported by the National Science Foundation under Grant Nos. 0347148 and 0936948. The computational infrastructure was provided by the Foundation through Grant No. 0821527. Part of the work of J.Z. Wang is done while working at the Foundation. Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
PY - 2012/2
Y1 - 2012/2
N2 - 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.
AB - 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.
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U2 - 10.1007/s11263-011-0478-3
DO - 10.1007/s11263-011-0478-3
M3 - Article
AN - SCOPUS:84856488636
SN - 0920-5691
VL - 96
SP - 353
EP - 383
JO - International Journal of Computer Vision
JF - International Journal of Computer Vision
IS - 3
ER -