Multilayer pLSA for multimodal image retrieval

CIVR 2009 - Proceedings of the ACM International Conference on Image and Video Retrieval

Volumn , Issue , 2009, Pages 60-67

  Lienhart, Rainer ^a   Romberg, Stefan ^a   Hörster, Eva ^a  

^a UNIVERSITY OF AUGSBURG   (Germany)

Author keywords

Hierarchical pLSA; Image retrieval; Image tags; Multimodal pLSA; PLSA; Probabilistic image models; SIFT; Tags

Indexed keywords

IMAGE MODELS; IMAGE TAGS; INFERENCE RULES; MULTI-MODAL; MULTI-MODAL IMAGE; MULTIPLE LAYERS; MULTIPLE MODALITIES; NEW APPROACHES; PLSA MODEL; PROBABILISTIC IMAGES; PROBABILISTIC LATENT SEMANTIC ANALYSIS; QUERY-BY-EXAMPLE; SINGLE LAYER; TOPIC VECTOR; UNIMODAL; VISUAL FEATURE; VISUAL IMAGE;

LEARNING ALGORITHMS; MULTILAYERS; SEMANTICS;

IMAGE RETRIEVAL;

EID: 74049088506     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1646396.1646408     Document Type: Conference Paper

References (23)

1. K. Barnard, P. Duygulu, D. Forsyth, D. M. Blei, T. Hofmann, T. Poggio, and J. Shawe-taylor. Matching words and pictures. Journal of Machine Learning Research 3 (2003) 1107-1135, 2003.
2. A. C. Berg, T. L. Berg, and J. Malik. Shape matching and object recognition using low distortion correspondences. In CVPR '05: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1, pages 26-33, Washington, DC, USA, 2005. IEEE Computer Society.
3. D. Blei and J. Lafferty. Correlated topic models. In Advances in Neural Information Processing Systems 18, pages 147-154. 2006.
4. D. M. Blei and M. I. Jordan. Modeling annotated data. In SIGIR '03: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, pages 127-134, 2003.
5. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. J. Mach. Learn. Res., 3:993-1022, 2003.
6. A. Bosch, A. Zisserman, and X. Muñoz. Scene classification via pLSA. Proceedings of the European Conference on Computer Vision, 3954:517-530, 2006.
7. A. Dempster, N. Laird, and D. Rubin. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, 39(1):1-38, 1977.
8. C. Fellbaum. WordNet: An Electronic Lexical Database. MIT Press, 1998.
9. T. Greif, E. Hörster, and R. Lienhart. Correlated topic models for image retrieval. In Technical Report TR2008-09, University of Augsburg, 2008.
10. J. Hawkins and S. Blakeslee. On Intelligence. Times Books, 2004.
11. T. T. Herbert Bay and L. V. Gool. Surf: Speeded up robust features. Proceedings of the 9th European Conference on Computer Vision, Springer LNCS, 3951(1):404-417, 2006.
12. G. E. Hinton and R. R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 313(5786):504-507, 2006.
13. T. Hofmann. Unsupervised learning by probabilistic latent semantic analysis. Machine Learning, 42, Numbers 1-2:177-196, 2001.
14. E. Hörster and R. Lienhart. Deep networks for image retrieval on large-scale databases. In MM '08: Proceeding of the 16th ACM international conference on Multimedia, pages 643-646, New York, NY, USA, 2008. ACM.
15. E. Hörster, R. Lienhart, and M. Slaney. Image retrieval on large-scale image databases. In Proc. ACM CIVR'07, pages 17-24, 2007.
16. E. Hörster, R. Lienhart, and M. Slaney. Continuous visual vocabulary modelsfor plsa-based scene recognition. In CIVR '08: Proceedings of the 2008 international conference on Content-based image and video retrieval, pages 319-328, New York, NY, USA, 2008. ACM.
17. L. Kennedy, M. Naaman, S. Ahern, R. Nair, and T. Rattenbury. How flickr helps us make sense of the world: context and content in community-contributed media collections. In MULTIMEDIA '07: Proceedings of the 15th international conference on Multimedia, pages 631-640, New York, NY, USA, 2007. ACM.
18. R. Lienhart and M. Slaney. pLSA on large scale image databases. IEEE International Conference on Acoustics, Speech and Signal Processing 2007 (ICASSP 2007), Vol. IV:1217-1220, 2007.
19. D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60 (2):91-110, 2004.
20. F. Monay and D. Gatica-Perez. Plsa-based image auto-annotation: constraining the latent space. In MULTIMEDIA '04: Proceedings of the 12th annual ACM international conference on Multimedia, pages 348-351, New York, NY, USA, 2004. ACM.
21. D. Nister and H. Stewenius. Scalable recognition with a vocabulary tree. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2:2161-2168, 2006.
22. E. Shechtman and M. Irani. Matching local self-similarities across images and videos. In IEEE Conference on Computer Vision and Pattern Recognition 2007 (CVPR'07), June 2007.
23. J. Sivic, B. C. Russell, A. Zisserman, W. T. Freeman, and A. A. Efros. Unsupervised discovery of visual object class hierarchies. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008.