Simultaneous image tagging and geo-location prediction within hypergraph ranking framework

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2014, Pages 6894-6898

  Pliakos, Konstantinos ^a   Kotropoulos, Constantine ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Geo coordinate prediction; Group Sparsity Optimization; Hypergraph; Recommender systems; Tagging

Indexed keywords

IMAGE RETRIEVAL; METADATA; RECOMMENDER SYSTEMS; SEMANTICS; SIGNAL PROCESSING;

CONTENT DESCRIPTION; GROUP SPARSITIES; HYPERGRAPH; METADATA INFORMATION; PREDICTION RATE; SHARING PLATFORMS; TAGGING; VISUAL ATTRIBUTES;

FORECASTING;

EID: 84905247936     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2014.6854936     Document Type: Conference Paper

References (23)

1. S. L. Feng, R. Manmatha, and V. Lavrenko, "Multiple Bernoulli relevance models for image and video annotation," in Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition, 2004, vol. 2, pp. II-1002-II-1009.
2. X. Zhang, Z. Li, and W. Chao, "Tagging image by merging multiple features in a integrated manner," Journal of Intelligent Information Systems, vol. 39, no. 1, pp. 87-107, 2012.
3. X. Zhang, X. Zhao, Z. Li, J. Xia, R. Jain, andW. Chao, "Social image tagging using graph-based reinforcement on multi-type interrelated objects," Signal Processing, vol. 93, no. 8, pp. 2178-2189, 2013.
4. Z. Guan, J. Bu, Q. Mei, C. Chen, and C. Wang, "Personalized tag recommendation using graph-based ranking on multi-type interrelated objects," in Proc. 32nd Int. ACM SIGIR Conf. Research and Development in Information Retrieval, 2009, pp. 540-547.
5. H. Wang, D. Joshi, J. Luo, H. Huang, and M. Park, "Simultaneous image annotation and geo-tag prediction via correlation guided multi-task learning," in Proc. IEEE Int. Symp. Multimedia, 2012, pp. 69-72.
6. J. Hays and A. A. Efros, "IM2GPS: Estimating geographic information from a single image," in Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition, 2008, pp. 1-8.
7. Y. Gao, M. Wang, D. Tao, R. Ji, and Q. Dai, "3-d object retrieval and recognition with hypergraph analysis," IEEE Trans. Image Processing, vol. 21, no. 9, pp. 4290-4303, 2012.
8. Y. Gao, M. Wang, Z. Zha, J. Shen, X. Li, and X. Wu, "Visualtextual joint relevance learning for tag-based social image search," IEEE Trans. Image Processing, vol. 22, no. 1, pp. 363-376, 2013.
9. Y. Yang, Y. Yang, Z. Huang, H. T. Shen, and F. Nie, "Tag localization with spatial correlations and joint group sparsity," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2011, pp. 881-888.
10. C. Berge and Edward Minieka, Graphs and Hypergraphs, vol. 7, North-Holland, Amsterdam, 1973.
11. D. Zhou, J. Huang, and B. Schölkopf, "Learning with hypergraphs: Clustering, classification, and embedding," in Advances in Neural Information Processing Systems, 2006, pp. 1601-1608.
12. J. Yu, D. Tao, and M. Wang, "Adaptive hypergraph learning and its application in image classification," IEEE Trans. Image Processing, vol. 21, no. 7, pp. 3262-3272, 2012.
13. Z. Yu, S. Tang, Y. Zhang, and J. Shao, "Image ranking via attribute boosted hypergraph," in Proc. 13th Pacific-Rim Conf. Advances in Multimedia Information Processing, 2012, pp. 779-789.
14. J. Xu, V. Singh, Z. Guan, and B. S. Manjunath, "Unified hypergraph for image ranking in a multimodal context," in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, 2012, pp. 2333-2336.
15. J. Bu, S. Tan, C. Chen, C. Wang, H. Wu, Z. Lijun, and X. He, "Music recommendation by unified hypergraph: Combining social media information and music content," in Proc. ACM Conf. Multimedia, 2010, pp. 391-400.
16. M. Slaney, "Web-scale multimedia analysis: Does content matter?," IEEE Multimedia, vol. 11, no. 2, pp. 12-15, April-June 2011.
17. S. Agarwal, K. Branson, and S. Belongie, "Higher order learning with graphs," in Proc. 23rd Int. Conf. Machine Learning, 2006, pp. 17-24.
18. M. Yuan and Y. Lin, "Model selection and estimation in regression with grouped variables," Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 68, no. 1, pp. 49-67, 2006.
19. Z. Lin, R. Lui, and Z. Su, "Linearized alternating direction method with adaptive penalty for low-rank representation," in Advances Neural Information Processing Systems, 2011, pp. 612-620.
20. Z. Qin and K. Scheinberg, "Efficient block-coordinate descent algorithms for the Group Lasso," Industrial Engineering, pp. 1-21, 2010.
21. E. S. Ristad and P. Yianilos, "Learning string-edit distance," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 5, pp. 522-532, 1998.
22. A. Oliva and A. Torralba, "Building the GIST of a scene: The role of global image features in recognition," Progress in Brain Research, vol. 155, pp. 23-36, 2006.
23. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. Journal of Computer Vision, vol. 60, no. 2, pp. 91-110, 2004.