Multiple queries for large scale specific object retrieval, BMVC, 2012, p.7 ,
Three things everyone should know to improve object retrieval, CVPR, 2012. 1, p.7 ,
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval, 2007 IEEE 11th International Conference on Computer Vision, 2007. ,
DOI : 10.1109/ICCV.2007.4408891
Semi-supervised SVM batch mode active learning for image retrieval, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2008.4587350
Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search, ECCV, 2008. ,
DOI : 10.1007/978-3-540-88682-2_24
On the burstiness of visual elements, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009. ,
DOI : 10.1109/CVPR.2009.5206609
A contextual dissimilarity measure for accurate and efficient image search, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. ,
DOI : 10.1109/CVPR.2007.382970
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995702
On Information and Sufficiency, The Annals of Mathematical Statistics, vol.22, issue.1, pp.79-86, 1951. ,
DOI : 10.1214/aoms/1177729694
Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004. ,
DOI : 10.1023/B:VISI.0000029664.99615.94
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931
An Introduction to Information Retrieval, 2009. ,
DOI : 10.1017/CBO9780511809071
Scale & Affine Invariant Interest Point Detectors, International Journal of Computer Vision, vol.60, issue.1, pp.63-86, 2004. ,
DOI : 10.1023/B:VISI.0000027790.02288.f2
URL : https://hal.archives-ouvertes.fr/inria-00548554
Scalable Recognition with a Vocabulary Tree, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006. ,
DOI : 10.1109/CVPR.2006.264
Trecvid 2012 -an introduction of the goals, tasks, data, evaluation mechanisms and metrics, TRECVID, 2012. 1, p.7 ,
Efficient representation of local geometry for large scale object retrieval, CVPR, p.7, 2009. ,
Object retrieval with large vocabularies and fast spatial matching, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. ,
DOI : 10.1109/CVPR.2007.383172
Lost in quantization: Improving particular object retrieval in large scale image databases, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2007. ,
DOI : 10.1109/CVPR.2008.4587635
Relevance weighting of search terms, Journal of the American Society for Information Science, vol.30, issue.3, 1976. ,
DOI : 10.1002/asi.4630270302
Okapi at TREC-3, TREC, 1994. ,
Introduction to modern information retrieval, 1983. ,
Video Google: a text retrieval approach to object matching in videos, Proceedings Ninth IEEE International Conference on Computer Vision, 2003. ,
DOI : 10.1109/ICCV.2003.1238663
Distances and weighting schemes for bag of visual words image retrieval, Proceedings of the international conference on Multimedia information retrieval, MIR '10, 2010. ,
DOI : 10.1145/1743384.1743438
URL : https://hal.archives-ouvertes.fr/inria-00523975
Spatial coding for large scale partial-duplicate web image search, Proceedings of the international conference on Multimedia, MM '10, 2010. ,
DOI : 10.1145/1873951.1874019
Large vocabulary quantization for searching instances from videos, Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, ICMR '12, 2007. ,
DOI : 10.1145/2324796.2324856