Personalized photograph ranking and selection system

MM'10 - Proceedings of the ACM Multimedia 2010 International Conference

Volumn , Issue , 2010, Pages 211-220

  Yeh, Che Hua ^a   Ho, Yuan Chen ^a   Barsky, Brian A ^b   Ouhyoung, Ming ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

aesthetic rules; color distribution; example driven re ranking; ordinal ranking; personalized ranking; photograph composition; photograph ranking

Indexed keywords

AESTHETIC RULES; COLOR DISTRIBUTION; ORDINAL RANKING; PERSONALIZED RANKING; PHOTOGRAPH COMPOSITION; PHOTOGRAPH RANKING; RE-RANKING;

COLOR; USER INTERFACES;

PHOTOGRAPHY;

EID: 78650973895     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1873951.1873963     Document Type: Conference Paper

References (30)

1. R. Achanta, S. Hemami, F. Estrada, and S. Susstrunk. Frequency-tuned salient region detection. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pages 1597 -1604, june 2009.
2. Z. Cao, T. Qin, T.-Y. Liu, M.-F. Tsai, and H. Li. Learning to rank: from pairwise approach to listwise approach. In ICML '07: Proceedings of the 24th international conference on Machine learning, pages 129-136, New York, NY, USA, 2007. ACM.
3. R. Chellappa. Two-dimensional discrete Gaussian Markov random field models for image processing. Journal of the Institution of Electronics and Telecommunication Engineers, 35(2):114-120, 1989.
4. D. Cohen-Or, O. Sorkine, R. Gal, T. Leyvand, and Y.-Q. Xu. Color harmonization. ACM Trans. Graph., 25(3):624-630, 2006.
5. R. Datta, D. Joshi, J. Li, and J. Z. Wang. Studying aesthetics in photographic images using a computational approach. In In Proc. ECCV, pages 7-13, 2006.
6. P. Felzenszwalb and D. Huttenlocher. Efficient graph-based image segmentation. International Journal of Computer Vision, 59(2):167-181, 2004.
7. T. Grill and M. Scanlon. Photographic composition. Amphoto Books, 1990.
8. R. Herbrich, T. Graepel, and K. Obermayer. Support vector learning for ordinal regression. In Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470), volume 1, pages 97 -102 vol.1, 1999.
9. Y. Ke, X. Tang, and F. Jing. The design of high-level features for photo quality assessment. In Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, volume 1, pages 419-426, june 2006.
10. B. Krages. Photography: the art of composition. Allworth Press, 2005.
11. W. Kruskal. Ordinal measures of association. Journal of the American Statistical Association, pages 814-861, 1958.
12. L. Liu, R. Chen, L. Wolf, and D. Cohen-Or. Optimizing photo composition. Computer Graphic Forum (Proceedings of Eurographics), 29(2), 2010.
13. Y. Luo and X. Tang. Photo and video quality evaluation: Focusing on the subject. In ECCV '08: Proceedings of the 10th European Conference on Computer Vision, pages 386-399, Berlin, Heidelberg, 2008. Springer-Verlag.
14. B. Manjunath and W. Ma. Texture features for browsing and retrieval of image data. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 18(8):837-842, aug 1996.
15. B. Martinez and J. Block. Visual forces: an introduction to design. Prentice Hall, 1988.
16. M. Nishiyama, T. Okabe, Y. Sato, and I. Sato. Sensation-based photo cropping. In MM '09: Proceedings of the seventeen ACM international conference on Multimedia, pages 669-672, New York, NY, USA, 2009. ACM.
17. G. Peters. Aesthetic primitives of images for visualization. In Information Visualization, 2007. IV '07. 11th International Conference, pages 316-325, july 2007.
18. V. Rivotti, J. Proenaa, J. Jorge, and M. Sousa. Composition principles for quality depiction and aesthetics. In The International Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging, pages 37-44, 2007.
19. Y. Ro, M. Kim, H. Kang, B. Manjunath, and J. Kim. MPEG-7 homogeneous texture descriptor. ETRI journal, 23(2):41-51, 2001.
20. J. San Pedro and S. Siersdorfer. Ranking and classifying attractiveness of photos in folksonomies. In WWW '09: Proceedings of the 18th international conference on World wide web, pages 771-780, New York, NY, USA, 2009. ACM.
21. A. Santella, M. Agrawala, D. DeCarlo, D. Salesin, and M. Cohen. Gaze-based interaction for semi-automatic photo cropping. In CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems, pages 771-780, New York, NY, USA, 2006. ACM.
22. G. Sharma, W. Wu, and E. Dalal. The CIEDE2000 color-difference formula: implementation notes, supplementary test data, and mathematical observations. Color research and application, 30(1):21-30, 2005.
23. H. Sheikh, A. Bovik, and G. de Veciana. An information fidelity criterion for image quality assessment using natural scene statistics. Image Processing, IEEE Transactions on, 14(12):2117-2128, dec. 2005.
24. C. G. M. Snoek, M. Worring, and A. W. M. Smeulders. Early versus late fusion in semantic video analysis. In MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia, pages 399-402, New York, NY, USA, 2005. ACM.
25. X. Sun, H. Yao, R. Ji, and S. Liu. Photo assessment based on computational visual attention model. In MM '09: Proceedings of the seventeen ACM international conference on Multimedia, pages 541-544, New York, NY, USA, 2009. ACM.
26. H. Tong, M. Li, H. Zhang, J. He, and C. Zhang. Classification of digital photos taken by photographers or home users. Lecture Notes in Computer Science, pages 198-205, 2004.
27. Z. Wang, A. Bovik, H. Sheikh, and E. Simoncelli. Image quality assessment: from error visibility to structural similarity. Image Processing, IEEE Transactions on, 13(4):600-612, april 2004.
28. Z. Wang, H. Sheikh, and A. Bovik. No-reference perceptual quality assessment of jpeg compressed images. In Image Processing. 2002. Proceedings. 2002 International Conference on, volume 1, pages I-477-I-480 vol.1, 2002.
29. Y. H. Yang, P. T. Wu, C. W. Lee, K. H. Lin, W. H. Hsu, and H. H. Chen. Contextseer: context search and recommendation at query time for shared consumer photos. In MM '08: Proceeding of the 16th ACM international conference on Multimedia, pages 199-208, New York, NY, USA, 2008. ACM.
30. C.-H. Yeh, W.-S. Ng, B. A. Barsky, and M. Ouhyoung. An esthetics rule-based ranking system for amateur photos. In SIGGRAPH ASIA '09: ACM SIGGRAPH ASIA 2009 Sketches, pages 1-1, New York, NY, USA, 2009. ACM.