Mining multiple queries for image retrieval: On-the-fly learning of an object-specific mid-level representation

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2013, Pages 2544-2551

  Fernando, Basura ^a   Tuytelaars, Tinne ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

feature configurations; image retrieval; mid level image representation; mid level patterns; multiple query object retrieval

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING;

FEATURE CONFIGURATION; GEOMETRIC VERIFICATIONS; IMAGE REPRESENTATIONS; MID-LEVEL PATTERNS; MID-LEVEL REPRESENTATION; MINIMAL DESCRIPTION LENGTH; MULTIPLE QUERIES; SPATIAL INFORMATIONS;

IMAGE RETRIEVAL;

EID: 84898815621     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.316     Document Type: Conference Paper

References (28)

1. R. Agrawal and R. Srikant. Fast algorithms for mining association rules in large databases. In VLDB, 1994.
2. R. Arandjelovíc and A. Zisserman. Multiple queries for large scale specific object retrieval. In BMVC, 2012.
3. R. Arandjelovic and A. Zisserman. Three things everyone should know to improve object retrieval. In CVPR, 2012.
4. O. Chum, J. Matas, and ? S. Obdr?źalek. Enhancing RANSAC by generalized model optimization. In ACCV, 2004.
5. O. Chum, A. Mikulik, M. Perdoch, and J. Matas. Total recall ii: Query expansion revisited. In CVPR, 2011.
6. O. Chum, J. Philbin, J. Sivic, M. Isard, and A. Zisserman. Total recall: Automatic query expansion with a generative feature model for object retrieval. In ICCV, 2007.
7. O. Chum, J. Philbin, and A. Zisserman. Near duplicate image detection: min-hash and tf-idf weighting. In BMVC, 2008.
8. B. Fernando, E. Fromont, and T. Tuytelaars. Effective use of frequent itemset mining for image classification. In ECCV, 2012.
9. A. Gilbert, J. Illingworth, and R. Bowden. Fast realistic multi-action recognition using mined dense spatio-temporal features. In ICCV, 2009.
10. P. D. Grunwald. The Minimum Description Length Principle. THE MIT PRESS, 2007.
11. M. J. Huiskes and M. S. Lew. The mir flickr retrieval evaluation. In ACM MIR, 2008.
12. Y. Liu, D. Xu, I.-H. Tsang, and J. Luo. Textual query of personal photos facilitated by large-scale web data. PAMI, 33:1022-1036, 2011.
13. A. Makadia. Feature tracking for wide-baseline image retrieval. In ECCV, 2010.
14. T. Malisiewicz, A. Gupta, and A. A. Efros. Ensemble of exemplar-svms for object detection and beyond. In ICCV, 2011.
15. D. Nister and H. Stewenius. Scalable recognition with a vocabulary tree. In CVPR, 2006.
16. M. Perd'och, O. Chum, and J. Matas. Efficient representation of local geometry for large scale object retrieval. In CVPR, 2009.
17. J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Object retrieval with large vocabularies and fast spatial matching. In CVPR, 2007.
18. J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Lost in quantization: Improving particular object retrieval in large scale image databases. In CVPR, 2008.
19. D. Qin, S. Gammeter, L. Bossard, T. Quack, and L. van Gool. Hello neighbor: Accurate object retrieval with k-reciprocal nearest neighbors. In CVPR, 2011.
20. T. Quack, V. Ferrari, B. Leibe, and L. Van Gool. Efficient mining of frequent and distinctive feature configurations. In ICCV, 2007.
21. G. Schweikert, C.Widmer, B. Scḧolkopf, and G. R̈atsch. An empirical analysis of domain adaptation algorithms for genomic sequence analysis. In NIPS, 2008.
22. S. Singh, A. Gupta, and A. A. Efros. Unsupervised discovery of mid-level discriminative patches. In ECCV, 2012.
23. J. Sivic and A. Zisserman. Video google: A text retrieval approach to object matching in videos. In ICCV, 2003.
24. T. Uno, T. Asai, Y. Uchida, and H. Arimura. Lcm: An efficient algorithm for enumerating frequent closed item sets. In FIMI, 2003.
25. J. Vreeken, M. Leeuwen, and A. Siebes. Krimp: mining itemsets that compress. Data Min. Knowl. Discov., 23:169-214, 2011.
26. B. Yao and L. Fei-Fei. Grouplet: A structured image representation for recognizing human and object interactions. In CVPR, 2010.
27. S. Zhang, M. Yang, T. Cour, K. Yu, and D. Metaxas. Query specific fusion for image retrieval. In ECCV, 2012.
28. Y. Zhang, Z. Jia, and T. Chen. Image retrieval with geometrypreserving visual phrases. In CVPR, 2011.