Flickr circles: Mining socially-aware aesthetic tendency

Proceedings - IEEE International Conference on Multimedia and Expo

Volumn 2015-August, Issue , 2015, Pages

  Zhang, Luming ^a   Zimmermann, Roger ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACT PAINTINGS; DENSE SUBGRAPH; GROUP USERS; IMAGE SETS; SOCIAL MEDIA; TOPIC MODELING; VISUAL FEATURE;

EID: 84946047520     PISSN: 19457871     EISSN: 1945788X     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2015.7177384     Document Type: Conference Paper

References (33)

1. W. Luo, X. Wang, and X. Tang, "Content-based photo quality assess-ment", in Proc. IEEE Int'l Conf. Comput. Vis., Nov 2011, pp. 2206-2213.
2. L. Zhang, Y. Gao, R. Zimmermann, Q. Tian, and X. Li, "Fusion of multichannel local and global structural cues for photo aesthetics eval-uation", IEEE Trans. Image Process., vol. 23, no. 3, pp. 1419-1429, March 2014.
3. T. Cootes, C. Taylor, D. Cooper, and J. Graham, "Active shape models-their training and application", Comput. Vis. and Image Understanding, vol. 61, no. 1, pp. 38-59, 1995.
4. R. Datta, D. Joshi, J. Li, and J. Wang, "Studying aesthetics in photo-graphic images using a computational approach", in Proc. Euro. Conf. Comput. Vis., 2006, pp. 288-301.
5. L.-K. Wong and K.-L. Low, "Saliency-enhanced image aesthetics class prediction," in Proc. IEEE Int'l Conf. Image Process., Nov 2009, pp. 997-1000.
6. S. Dhar, V. Ordonez, and T. Berg, "High level describable attributes for predicting aesthetics and interestingness", in Proc. IEEE Int'l Conf. Comput. Vis., June 2011, pp. 1657-1664.
7. Y-L. Boureau, J. Ponce, and Y. LeCun, "A Theoretical Analysis of Fea-ture Pooling in Visual Recognition", in Proc. IEEE Int'l Conf. Mach. Learn., 2010.
8. B. Cheng, B. Ni, S. Yan, and Q. Tian, "Learning to photograph", ACM Multimedia, 2010, pp. 291-300.
9. L. Zhang, M. Song, Q. Zhao, X. Liu, J. Bu, and C. Chen, "Probabilistic graphlet transfer for photo cropping", IEEE Trans. Image Process., vol. 22, no. 2, pp. 802-815, Feb 2013.
10. L. Zhang, Y. Gao, C. Zhang, H. Zhang, Q. Tian, R. Zimmermann, "Perception-Guided Multimodal Feature Fusion for Photo Aesthetics Assessment", ACM MM, 2014.
11. D. M. Blei, A. Y. Ng, and M. I. Jordan, "Latent dirichlet allocation", J. Mach. Learn. Res., vol. 3, pp. 993-1022, Mar. 2003.
12. G. Costa and R. Ortale, "A bayesian hierarchical approach for exploratory analysis of communities and roles in social networks," ASONAM, 2012, pp. 194-201.
13. E. Yao, G. Zheng, O. Jin, S. Bao, K. Chen, Z. Su, and Y. Yu, "Probabilistic text modeling with orthogonalized topics", SIGIR, 2014, pp. 907-910.
14. D. Zhou, E. Manavoglu, J. Li, C. L. Giles, and H. Zha, "Probabilistic models for discovering e-communities", in Proc. Int'l Conf.WorldWide Web, 2006, pp. 173-182.
15. Z. Yin, L. Cao, Q. Gu, and J. Han, "Latent community topic analysis: Integration of community discovery with topic modeling", ACM TIST, vol. 3, no. 4, p. 63, 2012.
16. S. Johnson, "Hierarchical clustering schemes", Psychometrika, vol. 32, no. 3, pp. 241-254, 1967.
17. W. Press, Numerical Recipes 3rd Edition: The Art of Scientific Computing, Cambridge University Press, 2007.
18. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection", in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., June 2005, pp. 886-893.
19. M. A. Stricker and M. Orengo, "Similarity of color images," Storage and Retrieval for Image and Video Databases, 1995, pp. 381-392.
20. T. Hofmann, "Probabilistic latent semantic analysis", in Proc. of Uncert. in artifi. intelli., 1999, pp. 289-296.
21. X. Li, W. Hu, C. Shen, A. Dick, and Z. Zhang, "Context-aware hypergraph construction for robust spectral clustering", IEEE Trans. Knowledge and Data Eng., pp. 1-1, 2013.
22. H. Liu and S. Yan, "Robust graph mode seeking by graph shift", in Proc. Int'l Conf. Mach. Learn., 2010, pp. 671-678.
23. Y. wei Chen, "Combining svms with various feature selection strategies", Taiwan University, Springer-Verlag, 2005.
24. G. Palla, I. Derényi, I. Farkas, and T. Vicsek, "Uncovering the overlapping community structure of complex networks in nature and society", Nature, vol. 435, no. 7043, pp. 814-818, 2005.
25. Y.-Y. Ahn, J. P. Bagrow, and S. Lehmann, "Link communities reveal multiscale complexity in networks", Nature, vol. 466, no. 7307, pp. 761-764, 2010.
26. L. Zhang, Y. Gao, R. Ji, Q. Dai, X. Li, "Actively Learning Human Gaze Shifting Paths for Photo Cropping", IEEE Trans. Image Process., vol. 23, no. 5, pp. 2235-2245, 2014.
27. L. Zhang, M.i Song, Y. Yang, Q. Zhao, Z. Chen, N. Sebe, "Weakly Supervised Photo Cropping", IEEE Trans. Multimedia, vol. 16, no. 1, pp. 94-107, 2014.
28. L. Zhang, R. Ji, Y. Xia, X. Li, "Learning a Probabilistic Topology Discovering Model for Scene Categorization", IEEE Trans. Neur. Network and Learn. System, 2014.
29. L. Zhang, Y. Gao, R. Hong, Y. Hu, R. Ji, Q. Dai, "Probabilistic Skimlet Fusion for Summarizing Multiple Consumer Landmark Videos", IEEE Trans. Multimedia, 71(1): 40-49, 2015.
30. L. Nie, Y.-L. Zhao, M. Akbari, J. Shen, T.-S. Chua, "Bridging the Vocabulary Gap between Health Seekers and Healthcare Knowledge", IEEE Trans. Knowl. Data Eng., 27(2): 396-409, 2015.
31. L. Nie, Y.-L. Zhao, X.Wang, J. Shen, T.-S. Chua, "Learning to Recommend Descriptive Tags for Questions in Social Forums", ACM Trans. Inf. Syst., 32(1): 5, 2014.
32. T. Yoshida, "Toward finding hidden communities based on user profile", Workshops of IEEE Int'l Conf. on Data Mining, 2010, pp. 380-387.
33. M. Frank, A. P. Streich, D. Basin, and J. M. Buhmann, "Multiassignment clustering for boolean data," J. Mach. Learn. Res., vol. 13, pp. 459-489, Feb. 2012.