A neural network to retrieve images from text queries

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4132 LNCS - II, Issue , 2006, Pages 24-34

  Grangier, David ^a,b   Bengio, Samy ^a  

^a IDIAP RESEARCH INSTITUTE   (Switzerland)

^b EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; IMAGE PROCESSING; INFORMATION RETRIEVAL; MATHEMATICAL MODELS; PROBLEM SOLVING; QUERY LANGUAGES;

CORD QUERIES; LOCAL BLOCK DESCRIPTORS; TEXT QUERIES;

NEURAL NETWORKS;

EID: 33749871311     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11840930_3     Document Type: Conference Paper

References (17)

1. Barnard, K., Duygulu, P., Forsyth, D., de Freitas, N., Blei, D.M., Jordan, M.I.: Matching words and pictures. J. of Machine Learning Research 3 (2003)
2. Grangier, D., Bengio, S.: A discriminative approach for the retrieval of images from text queries. Technical report, IDIAP Research Institute (2006)
3. Jeon, J., Lavrenko, V., Manmatha, R.: Automatic image annotation and retrieval using cross-media relevance models. In: ACM Special Interest Group on Information Retrieval. (2003)
4. Monay, F., Gatica-Perez, D.: PLSA-based image auto-annotation: constraining the latent space. In: ACM Multimedia. (2004)
5. Duygulu, P., Barnard, K., de Freitas, N., Forsyth, D.: Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary. In: European Conf. on Computer Vision. (2002)
6. Tieu, K., Viola, P.: Boosting image retrieval. Intl. J. of Computer Vision 56 (2004)
7. Wu, H., LuE, H., Ma, S.: A practical SVM-based algorithm for ordinal regression in image retrieval. In: ACM Multimedia. (2003)
8. LeCun, Y., Boser, B., Denker, J.S., Henderson, D., Howard, R.E., Hubbard, W., Jackel, L.D.: Handwritten digit recognition with a back-propagation network. In: Conf. on Advances in Neural Information Processing Systems. (1989)
9. Garcia, C., Delakis, M.: Convolutional face finder: A neural architecture for fast and robust face detection. T. on Pattern Analysis and Machine Intelligence 26 (2004)
10. Joachims, T.: Optimizing search engines using clickthrough data. In: Intl. Conf. on Knowledge Discovery and Data Mining. (2002)
11. Grangier, D., Bengio, S.: Exploiting hyperlinks to learn a retrieval model. In: NIPS Workshop on Learning to Rank. (2005)
12. Quelhas, P., Monay, F., Odobez, J.M., Gatica-Perez, D., Tuytelaars, T., Gool, L.J.V.: Modeling scenes with local descriptors and latent aspects. In: Intl. Conf. on Computer Vision. (2005)
13. Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison Wesley, Harlow, England (1999)
14. LeCun, Y., Bottou, L., Orr, G.B., Mueller, K.R.: Efficient backprop. In Orr, G.B., Mueller, K.R., eds.: Neural Networks: Trick of the Trade. Springer (1998)
15. Takala, V., Ahonen, T., Pietikainen, M.: Block-based methods for image retrieval using local binary patterns. In: Scandinavian Conf. on Image Analysis. (2005)
16. Burges, G., Shaked, T., Renshaw, E., Lazier, A., Deeds, M., Hamilton, N., Hullender, G.: Learning to rank using gradient descent. In: Intl. Conf. on Machine Learning. (2005)
17. Rice, J.: Rice, Mathematical Statistics and Data Analysis. Duxbury Press, Belmont, California (1995)