Locality in generic instance search from one example

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2014, Pages 2099-2106

  Tao, Ran ^a   Gavves, Efstratios ^a   Snoek, Cees G M ^a   Smeulders, Arnold W M ^a,b  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b CWI   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION;

CANDIDATE TARGET; DATABASE IMAGES; EFFICIENT POINT; IMAGE REPRESENTATIONS; LARGE VOCABULARY; SEARCH PERFORMANCE; SIMILARITY FUNCTIONS; STATE OF THE ART;

VECTOR SPACES;

EID: 84911404141     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.269     Document Type: Conference Paper

References (35)

1. B. Alexe, T. Deselaers, and V. Ferrari. Measuring the objectness of image windows. TPAMI, 34(11):2189-2202, 2012.
2. R. Arandjelovic and A. Zisserman. Multiple queries for large scale specific object retrieval. In BMVC, 2012.
3. R. Arandjelović and A. Zisserman. Three things everyone should know to improve object retrieval. In CVPR, 2012.
4. R. Arandjelović and A. Zisserman. All about VLAD. In CVPR, 2013.
5. Q. Chen, Z. Song, R. Feris, A. Datta, L. Cao, Z. Huang, and S. Yan. Efficient maximum appearance search for large-scale object detection. In CVPR, 2013.
6. O. Chum, A. Mikulík, M. Perdoch, and J. Matas. Total recall II: query expansion revisited. In CVPR, 2011.
7. 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 CVPR, 2007.
8. J. Delhumeau, P.-H. Gosselin, H. Jégou, and P. Perez. Revisiting the VLAD image representation. In MM, 2013.
9. I. Endres and D. Hoiem. Category independent object proposals. In ECCV, 2010.
10. H. Harzallah, F. Jurie, and C. Schmid. Combining efficient object localization and image classification. In ICCV, 2009.
11. H. Jégou, M. Douze, and C. Schmid. Hamming embedding and weak geometric consistency for large scale image search. In ECCV, 2008.
12. H. Jégou, M. Douze, and C. Schmid. Product quantization for nearest neighbor search. TPAMI, 33(1):117-128, 2011.
13. H. Jégou, F. Perronnin, M. Douze, J. Sanchez, P. Perez, and C. Schmid. Aggregating local image descriptors into compact codes. TPAMI, 34(9):1704-1716, 2012.
14. Y. Jiang, J. Meng, and J. Yuan. Randomized visual phrases for object search. In CVPR, 2012.
15. A. Joly and O. Buisson. Logo retrieval with a contrario visual query expansion. In MM, 2009.
16. C. H. Lampert. Detecting objects in large image collections and videos by efficient subimage retrieval. In ICCV, 2009.
17. Z. Lin and J. Brandt. A local bag-of-features model for large-scale object retrieval. In ECCV, 2010.
18. K. Mikolajczyk and C. Schmid. Scale & affine invariant interest point detectors. IJCV, 60(1):63-86, 2004.
19. A. Mikulík, M. Perdoch, O. Chum, and J. Matas. Learning a fine vocabulary. In ECCV, 2010.
20. D. Nistér and H. Stewénius. Scalable recognition with a vocabulary tree. In CVPR, 2006.
21. P. Over, G. Awad, J. Fiscus, G. Sanders, and B. Shaw. Trecvid 2012-an introduction of the goals, tasks, data, evaluation mechanisms and metrics. In TRECVID, 2012.
22. M. Perdoch, O. Chum, and J. Matas. Efficient representation of local geometry for large scale object retrieval. In CVPR, 2009.
23. F. Perronnin and C. Dance. Fisher kernels on visual vocabularies for image categorization. In CVPR, 2007.
24. F. Perronnin, Y Liu, J. Sanchez, and H. Poirier. Large-scale image retrieval with compressed fisher vectors. In CVPR, 2010.
25. F. Perronnin, J. Sanchez, and T. Mensink. Improving the fisher kernel for large-scale image classification. In ECCV, 2010.
26. J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Object retrieval with large vocabularies and fast spatial matching. In CVPR, 2007.
27. 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.
28. 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.
29. D. Qin, C. Wengert, and L. van Gool. Query adaptive similarity for large scale object retrieval. In CVPR, 2013.
30. J. Revaud, M. Douze, and C. Schmid. Correlation-based burstiness for logo retrieval. In MM, 2012.
31. J. Sanchez, F. Perronnin, T. Mensink, and J. Verbeek. Image classification with the fisher vector: theory and practice. IJCV, 105(3):222-245, 2013.
32. G. Tolias, Y Avrithis, and H. Jégou. To aggregate or not to aggregate: Selective match kernels for image search. In ICCV, 2013.
33. G. Tolias, Y Kalantidis, and Y Avrithis. Symcity: feature selection by symmetry for large scale image retrieval. In MM, 2012.
34. J. R. R. Uijlings, A. W. M. Smeulders, and R. J. H. Scha. The visual extent of an object: suppose we know the object locations. IJCV, 96(1):46-63, 2012.
35. J. R. R. Uijlings, K. van de Sande, T. Gevers, and A. W. M. Smeulders. Selective search for object recognition. IJCV, 104(2):154-171, 2013.