Learning to rank bag-of-word histograms for large-scale object retrieval

BMVC 2014 - Proceedings of the British Machine Vision Conference 2014

Volumn , Issue , 2014, Pages

  Qin, Danfeng ^a   Chen, Yuhua ^a   Guillaumin, Matthieu ^a   Van Gool, Luc ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; GRAPHIC METHODS; IMAGE RETRIEVAL; SCALES (WEIGHING INSTRUMENTS);

BENCHMARK DATASETS; GENERAL LINEAR MODELING; LARGE-SCALE OBJECTS; LEARNING TO RANK; LOCAL DESCRIPTORS; NEGATIVE EVIDENCE; RETRIEVAL ACCURACY; STATE-OF-THE-ART SYSTEM;

SEARCH ENGINES;

EID: 84919771997     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (37)

1. http://lear.inrialpes.fr/~jegou/data.php.
2. http://www.vis.uky.edu/~stewe/ukbench/.
3. http://www.robots.ox.ac.uk/~vgg/data/oxbuildings/index.html.
4. Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Ian Simon, Brian Curless, Steven M Seitz, and Richard Szeliski. Building rome in a day. Communications of the ACM, 54(10):105-112, 2011.
5. Relja Arandjelovic and Andrew Zisserman. Three things everyone should know to improve object retrieval. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pages 2911-2918. IEEE, 2012.
6. Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Huang, and Hsiao-Wuen Hon. Adapting ranking svm to document retrieval. In Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, pages 186-193. ACM, 2006.
7. Ondrej Chum, James Philbin, Josef Sivic, Michael Isard, and Andrew Zisserman. Total recall: Automatic query expansion with a generative feature model for object retrieval. In Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on, pages 1-8. IEEE, 2007.
8. Ondrej Chum, James Philbin, and Andrew Zisserman. Near duplicate image detection: min-hash and tf-idf weighting. In BMVC, 2008.
9. Ondrej Chum, Andrej Mikulik, Michal Perdoch, and Jiri Matas. Total recall ii: Query expansion revisited. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pages 889-896. IEEE, 2011.
10. Stephan Gammeter, Lukas Bossard, Till Quack, and Luc Van Gool. I know what you did last summer: object-level auto-annotation of holiday snaps. In Computer Vision, 2009 IEEE 12th International Conference on, pages 614-621. IEEE, 2009.
11. Ke Gao, Yongdong Zhang, Ping Luo, Wei Zhang, Junhai Xia, and Shouxun Lin. Visual stem mapping and geometric tense coding for augmented visual vocabulary. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pages 3234-3241. IEEE, 2012.
12. Bernd Girod, Vijay Chandrasekhar, David M Chen, Ngai-Man Cheung, Radek Grzeszczuk, Yuriy Reznik, Gabriel Takacs, Sam S Tsai, and Ramakrishna Vedantham. Mobile visual search. Signal Processing Magazine, IEEE, 28(4):61-76, 2011.
13. Hervé Jégou and Ondřej Chum. Negative evidences and co-occurences in image retrieval: The benefit of pca and whitening. In Computer Vision-ECCV 2012, pages 774-787. Springer, 2012.
14. Hervé Jégou, Matthijs Douze, and Cordelia Schmid. Hamming embedding and weak geometric consistency for large scale image search. In ECCV08, 2008.
15. Hervé Jégou, Matthijs Douze, and Cordelia Schmid. On the burstiness of visual elements. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pages 1169-1176. IEEE, 2009.
16. Thorsten Joachims. Optimizing search engines using clickthrough data. In Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 133-142. ACM, 2002.
17. David G Lowe. Distinctive image features from scale-invariant keypoints. International journal of computer vision, 60(2):91-110, 2004.
18. Andrej Mikulík, Michal Perdoch, Ondřej Chum, and Jiří Matas. Learning a fine vocabulary. In Computer Vision-ECCV 2010, pages 1-14. Springer, 2010.
19. David Nistér and Henrik Stewénius. Scalable recognition with a vocabulary tree. In CVPR, 2006.
20. Michal Perdoch, Ondrej Chum, and Jiri Matas. Efficient representation of local geometry for large scale object retrieval. In Computer Vision and Pattern Recognition (CVPR) Conference, 2009.
21. James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, and Andrew Zisserman. Object retrieval with large vocabularies and fast spatial matching. In Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, pages 1-8. IEEE, 2007.
22. James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, and Andrew Zisserman. Lost in quantization: Improving particular object retrieval in large scale image databases. In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pages 1-8. IEEE, 2008.
23. James Philbin, Michael Isard, Josef Sivic, and Andrew Zisserman. Descriptor learning for efficient retrieval. In Computer Vision-ECCV 2010, pages 677-691. Springer, 2010.
24. Danfeng Qin, Stephan Gammeter, Lukas Bossard, Till Quack, and Luc Van Gool. Hello neighbor: Accurate object retrieval with k-reciprocal nearest neighbors. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pages 777-784. IEEE, 2011.
25. Grant Schindler, Matthew Brown, and Richard Szeliski. City-scale location recognition. In Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, pages 1-7. IEEE, 2007.
26. Xiaohui Shen, Zhe Lin, Jonathan Brandt, Shai Avidan, and Ying Wu. Object retrieval and localization with spatially-constrained similarity measure and k-nn re-ranking. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pages 3013-3020. IEEE, 2012.
27. K. Simonyan, A. Vedaldi, and A. Zisserman. Learning local feature descriptors using convex optimisation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014.
28. Josef Sivic and Andrew Zisserman. Video google: A text retrieval approach to object matching in videos. In Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on, pages 1470-1477. IEEE, 2003.
29. Josef Sivic and Andrew Zisserman. Video google: A text retrieval approach to object matching in videos. In Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on, pages 1470-1477. IEEE, 2003.
30. Yu Su and Frédéric Jurie. Visual word disambiguation by semantic contexts. In Computer Vision (ICCV), 2011 IEEE International Conference on, pages 311-318. IEEE, 2011.
31. Christian Wengert, Matthijs Douze, and Hervé Jégou. Bag-of-colors for improved image search. In Proceedings of the 19th ACM international conference on Multimedia, pages 1437-1440. ACM, 2011.
32. Zhong Wu, Qifa Ke, Michael Isard, and Jian Sun. Bundling features for large scale partialduplicate web image search. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pages 25-32. IEEE, 2009.
33. Shaoting Zhang, Ming Yang, Timothee Cour, Kai Yu, and Dimitris N Metaxas. Query specific fusion for image retrieval. In Computer Vision-ECCV 2012, pages 660-673. Springer, 2012.
34. Yimeng Zhang, Zhaoyin Jia, and Tsuhan Chen. Image retrieval with geometry-preserving visual phrases. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pages 809-816. IEEE, 2011.
35. Liang Zheng, Shengjin Wang, Ziqiong Liu, and Qi Tian. Lp-norm idf for large scale image search. In Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, pages 1626-1633. IEEE, 2013.
36. Liang Zheng, Shengjin Wang, Ziqiong Liu, and Qi Tian. Packing and padding: Coupled multiindex for accurate image retrieval. arXiv preprint arXiv:1402.2681, 2014.
37. Cai-Zhi Zhu, Hervé Jégou, and Shin'ichi Satoh. Query-adaptive asymmetrical dissimilarities for visual object retrieval. In ICCV-International Conference on Computer Vision, 2013.