To aggregate or not to aggregate: Selective match kernels for image search

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2013, Pages 1401-1408

  Tolias, Giorgos ^a   Avrithis, Yannis ^a   Jegou, Herve ^a  

^a INRIA   (France)

Author keywords

descriptor aggregation; Hamming Embedding; image retrieval; VLAD

Indexed keywords

IMAGE RETRIEVAL;

DESCRIPTORS; HAMMING EMBEDDING; IMAGE SEARCH; LOCAL DESCRIPTORS; MATCHING TECHNIQUES; VLAD;

AGGREGATES;

EID: 84898829999     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.177     Document Type: Conference Paper

References (31)

1. R. Arandjelovic and A. Zisserman. Three things everyone should know to improve object retrieval. In CVPR, Jun. 2012.
2. R. Arandjelovic and A. Zisserman. All about VLAD. In CVPR, 2013.
3. L. Bo and C. Sminchisescu. Efficient match kernel between sets of features for visual recognition. In NIPS, 2009.
4. Y. Boureau, F. Bach, Y. Lecun, and J. Ponce. Learning midlevel features for recognition. In cvpr, 2010.
5. M. Charikar. Similarity estimation techniques from rounding algorithms. In ACM Symposium on Theory of Computing, 2002.
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, Oct. 2007.
7. G. Csurka, C. Dance, L. Fan, J. Willamowski, and C. Bray. Visual categorization with bags of keypoints. In ECCVWorkshop Statistical Learning in Computer Vision, 2004.
8. M. Jain, R. Benmokhtar, P. Gros, and H. Jegou. Hamming embedding similarity-based image classification. In ICMR, Jun. 2012.
9. M. Jain, H. Jegou, and P. Gros. Asymmetric hamming embedding: Taking the best of our bits for large scale image search. In ACM Multimedia, 2011.
10. H. Jegou, M. Douze, and C. Schmid. Hamming embedding and weak geometric consistency for large scale image search. In ECCV, Oct. 2008.
11. H. Jegou, M. Douze, and C. Schmid. On the burstiness of visual elements. In CVPR, Jun. 2009.
12. H. Jegou, M. Douze, and C. Schmid. Improving bag-offeatures for large scale image search. IJCV, 87(3):316-336, Feb. 2010.
13. H. Jegou, M. Douze, C. Schmid, and P. Perez. Aggregating local descriptors into a compact image representation. In CVPR, Jun. 2010.
14. D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, Nov. 2004.
15. K. Mikolajczyk and C. Schmid. A performance evaluation of local descriptors. Trans. PAMI, 27(10):1615-1630, 2005.
16. A. Mikulk, M. Perdoch, O. Chum, and J. Matas. Learning a fine vocabulary. In ECCV, Sep. 2010.
17. D. Nister and H. Stewenius. Scalable recognition with a vocabulary tree. In CVPR, pages 2161-2168, Jun. 2006.
18. M. Perdoch, O. Chum, and J. Matas. Efficient representation of local geometry for large scale object retrieval. In CVPR, Jun. 2009.
19. F. Perronnin and C. R. Dance. Fisher kernels on visual vocabularies for image categorization. In CVPR, Jun. 2007.
20. F. Perronnin, Y. Liu, J. Sanchez, and H. Poirier. Large-scale image retrieval with compressed Fisher vectors. In CVPR, Jun. 2010.
21. F. Perronnin, J. Sanchez, and T. Mensink. Improving the Fisher kernel for large-scale image classification. In ECCV, Sep. 2010.
22. J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Object retrieval with large vocabularies and fast spatial matching. In CVPR, Jun. 2007.
23. 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, Jun. 2008.
24. G. Salton and C. Buckley. Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24(5):513-523, Aug. 1988.
25. J. Sivic and A. Zisserman. Video Google: A text retrieval approach to object matching in videos. In ICCV, Oct. 2003.
26. G. Tolias and Y. Avrithis. Speeded-up, relaxed spatial matching. In ICCV, Nov. 2011.
27. G. Tolias and H. Jegou. Local visual query expansion: Exploiting an image collection to refine local descriptors. Technical Report RR-8325, INRIA, Jul. 2013.
28. A. Torii, J. Sivic, T. Pajdla, and M. Okutomi. Visual place recognition with repetitive structures. In CVPR, 2013.
29. A. Torralba, R. Fergus, and Y. Weiss. Small codes and large databases for recognition. In CVPR, Jun. 2008.
30. J. Wang, J. Yang, F. L. K. Yu, T. Huang, and Y. Gong. Locality-constrained linear coding for image classification. In CVPR, 2010.
31. Z. Wu, Q. Ke, M. Isard, and J. Sun. Bundling features for large scale partial-duplicate web image search. In CVPR, pages 25-32, 2009.