Aesthetic quality classification of photographs based on color harmony

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2011, Pages 33-40

  Nishiyama, Masashi ^a   Okabe, Takahiro ^a   Sato, Imari ^b   Sato, Yoichi ^a  

^a INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

^b NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR; COLOR PRINTING; PATTERN RECOGNITION; PHOTOGRAPHY;

AESTHETIC QUALITIES; CLASSIFICATION PERFORMANCE; COLOR HARMONY; COLOR PATTERN; COLOR VARIATIONS; PERCEIVED QUALITY; PHOTO COLLECTIONS; SALIENCY FEATURES;

IMAGE ENHANCEMENT;

EID: 80052903705     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995539     Document Type: Conference Paper

References (25)

1. S. Bhattacahrya, R. Sukthankar, and M. Shah. A framework for photo-quality assessment and enhancement based on visual aesthetics. Proc. ACM Int'l Conf. Multimedia, pages 271-280, 2010.
2. D. Cohen-Or, O. Sorkine, R. Gal, T. Leyvand, and Y. Q. Xu. Color harmonization. ACM Trans. Graphics, 25(3):624-630, 2006.
3. D. Comaniciu and P. Meer. Mean shift: A robust approach toward feature spaceanalysis. IEEE Trans. Pattern Analysis and Machine Intelligence, 24(5):603-619, 2002.
4. C. Dance, J. Willamowski, L. Fan, C. Bray, and G. Csurka. Visual categorization with bags of keypoints. Proc. ECCV Int'l Workshop Statistical Learning in Computer Vision, pages 1-22, 2004.
5. R. Datta, D. Joshi, J. Li, and J. Z. Wang. Studying aesthetics in photographic images using a computational approach. Proc. European Conf. Computer Vision, 3953:288-301, 2006.
6. DPChallenge. http://www.dpchallenge.com.
7. J. Harel, C. Koch, and P. Perona. Graph-based visual saliency. Proc. Advances in Neural Information Processing Systems, 19:545-552, 2007.
8. J. Itten. The Art of Color. Van Nostrand Reinhold Company, 1960.
9. D. B. Judd and G. Wyszecki. Color in Business, Science, and Industry. John Wiley & Sons, 1975.
10. Y. Ke, X. Tang, and F. Jing. The design of high-level features for photo quality assessment. Proc. IEEE Conf. Computer Vision and Pattern Recognition, 1:419-426, 2006.
11. H. T. Lin, C. J. Lin, and R. C. Weng. A note on platt's probabilistic outputs for support vector machines. Technical report, National Taiwan University, 2003.
12. L. Liu, R. Chen, L. Wolf, and D. Cohen-Or. Optimizing photo composition. Computer Graphic Forum, 29(2):469-478, 2010.
13. A. Loui, M. D. Wood, A. Scalise, and J. Birkelund. Multidimensional image value assessment and rating for automated albuming and retrieval. Proc. IEEE Int'l Conf. Image Processing, pages 97-100, 2008.
14. Y. Luo and X. Tang. Photo and video quality evaluation: Focusing on the subject. Proc. European Conf. Computer Vision, 5304:386-399, 2008.
15. Y. Matsuda. Color design. Asakura Shoten, 1995.
16. P. Moon and D. E. Spencer. Geometric formulation of classical color harmony. J. Opt. Soc. Amer., 34:46-50, 1944.
17. A. K. Moorthy, P. Obrador, and N. Oliver. Towards computational models of the visual aesthetic appeal of consumer videos. Proc. European Conf. Computer Vision, 6315:1-14, 2010.
18. M. Nishiyama, T. Okabe, Y. Sato, and I. Sato. Sensationbased photo cropping. Proc. ACM Int'l Conf. Multimedia, pages 669-672, 2009.
19. M. Nishiyama, H. Takeshima, J. Shotton, T. Kozakaya, and O. Yamaguchi. Facial deblur inference to improve recognition of blurred faces. Proc. IEEE Conf. Computer Vision and Pattern Recognition, pages 1115-1122, 2009.
20. E. Nowak, F. Jurie, and B. Triggs. Sampling strategies for bag-of-features image classification. Proc. European Conf. Computer Vision, pages 490-503, 2006.
21. N. Otsu. A threshold selection method from gray-level histograms. IEEE Trans. Systems, Man and Cybernetics, 9(1):62-66, 1979.
22. Y. Shin and E. Y. Kim. Affective prediction in photographic images using probabilistic affective model. Proc. ACM Int'l Conf. Image and Video Retrieval, pages 390-397, 2010.
23. E. Tola, V. Lepetit, and P. Fua. Daisy: An efficient dense descriptor applied to wide-baseline. IEEE Trans. Pattern Analysis and Machine Intelligence, 32(5):815-830, 2010.
24. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli. Image quality assessment: From error visibility to structural similarity. IEEE Trans. Image Processing, 13(4):600-612, 2004.
25. Y. Xiang, B. Zou, and H. Li. Selective color transfer with multi-source images. Pattern Recognition Letters, 30(7):682-689, 2009.