Cross Indexing with Grouplets

IEEE Transactions on Multimedia

Volumn 17, Issue 11, 2015, Pages 1969-1979

  Zhang, Shiliang ^a   Wang, Xiaoyu ^b   Lin, Yuanqing ^c   Tian, Qi ^d  

^a PEKING UNIVERSITY   (China)

^b SNAP INC   (United States)

^c NEC LABORATORIES AMERICA   (United States)

^d One UTSA Circle   (United States)

Author keywords

Image indexing; large scale image retrieval

Indexed keywords

BENCHMARKING; DATA MINING; IMAGE RETRIEVAL; INDEXING (OF INFORMATION); NEURAL NETWORKS; SEMANTICS;

BENCHMARK DATASETS; CONVOLUTIONAL NEURAL NETWORK; IMAGE INDEXING; LOCAL SIMILARITY; MEMORY CONSUMPTION; RETRIEVAL ACCURACY; RETRIEVAL FRAMEWORKS; SEAMLESS INTEGRATION;

SEARCH ENGINES;

EID: 84946568475     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2015.2478055     Document Type: Article

References (55)

1. O. Russakovsky et al., "ImageNet large scale visual recognition challenge," Int. J. Comput. Vis., pp. 1-42, Apr. 2015 [Online]. Available: http://www.image-net.org/challenges/LSVRC/2010
2. R. Arandjelović and A. Zisserman, "Three things everyone should know to improve object retrieval," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recog., Jun. 2012, pp. 2911-2918.
3. A. Babenko, A. Slesarev, A. Chigorin, and V. S. Lempitsky, "Neural codes for image retrieval," in Proc. ECCV, 2014, pp. 584-599.
4. H. Bay, T. Tuytelaars, and L. V. Gool, "Surf: Speeded up robust features," in Proc. ECCV, 2006, pp. 404-417.
5. Y.-L. Boureau, J. Ponce, and Y. LeCun, "A theoretical analysis of feature pooling in visual recognition," in Proc. ICML, 2010, pp. 111-118.
6. O. Chum and J. Matas, "Large-scale discovery of spatially related images," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 2, pp. 371-377, Feb. 2010.
7. J. Deng, A. C. Berg, and L. Fei-Fei, "Hierarchical semantic indexing for large scale image retrieval," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recog., Jun. 2011, pp. 785-792.
8. M. Douze, A. Ramisa, and C. Schmid, "Combining attributes and fisher vectors for efficient image retrieval," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recog., Jun. 2011, pp. 745-752.
9. C. Farabet, C. Couprie, L. Najman, and Y. LeCun, "Learning hierarchical features for scene labeling," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 8, pp. 1915-1929, Aug. 2013.
10. A. Farhadi, I. Endres, D. Hoiem, and D. Forsyth, "Describing objects by their attributes," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recog., Jun. 2009, pp. 1778-1785.
11. C. Fellbaum, WordNet: An Electronic Lexical Database. Cambridge, MA, USA: Bradford Book, 1998.
12. V. Ferrari and A. Zisserman, "Learning visual attributes," in Proc. NIPS, 2007, pp. 433-440.
13. B. J. Frey and D. Dueck, "Clustering by passing messages between data points," Science, vol. 315, no. 5814, pp. 972-976, 2007.
14. A. Gionis, P. Indyky, and R. Motwaniz, "Similarity search in high dimensions via hashing," in Proc. VLDB, 1999, pp. 518-529.
15. A. G. Hauptmann, M. G. Christel, and R. Yan, "Video retrieval based on semantic concepts," Proc. IEEE, vol. 96, no. 4, pp. 602-622, Apr. 2008.
16. H. Jégou, M. Douze, and C. Schmid, "Hamming embedding and weak geometric consistency for large scale image search," in Proc. ECCV, 2008, pp. 304-317.
17. H. Jégou, M. Douze, and C. Schmid, "Improving bag-of- feature for large scale image search," Int. J. Comput. Vis., vol. 87, no. 3, pp. 316-336, 2010.
18. H. Jégou, M. Douze, and C. Schmid, "Product quantization for nearest neighbor search," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 1, pp. 117-128, Jan. 2011.
19. Y. Jia et al., "Caffe: Convolutional architecture for fast feature embedding," arXiv preprint arXiv:1408.5093, 2014 [Online]. Available: http://caffe.berkeleyvision.org/
20. R. M. Karp, Reducibility Among Combinatorial Problems. New York, NY, USA: Springer, 1972.
21. A. Krizhevsky, I. Sutskever, and G. Hinton, "ImageNet classification with deep convolutional neural networks," in Proc. NIPS, 2012, pp. 1097-1105.
22. Y. Lin, F. Lv, S. Zhu, M. Yang, T. Cour, K. Yu, L. Cao, and T. Huang, "Large-scale image classification: Fast feature extraction and SVM training," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recog., Jun. 2011, pp. 1689-1696.
23. W. Liu, J. Wang, R. Ji, Y. Jiang, and S.-F. Chang, "Supervised hashing with kernels," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recog., Jun. 2012, pp. 2074-2081.
24. Z. Liu, H. Li, W. Zhou, and Q. Tian, "Embedding spatial context into inverted file for large-scale image search," in Proc. ACM Multimedia, 2012, pp. 199-208.
25. D. G. Lowe, "Distinctive image features from scale invariant keypoints," Int. J.Comput. Vis., vol. 60, no. 2, pp. 91-110, 2004.
26. Q. Luo, S. Zhang, T. Huang, W. Gao, and Q. Tian, "Superimage: Packing semantic-relevant images for indexing and retrieval," in Proc. ICMR, 2014, pp. 41-48.
27. K. Makino and T. Uno, New Algorithms for Enumerating All Maximal Cliques. New York, NY, USA: Springer, 2004.
28. A. Mikulk, M. Perdoch, O. Chum, and J. Matas, "Learning a fine vocabulary," in Proc. ECCV, 2010, pp. 1-14.
29. D. Nistér and H. Stewénius, "Scalable recognition with a vocabulary tree," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recog., Jun. 2006, vol. 2, pp. 2161-2168.
30. M. Norouzi and D. J. Fleet, "Cartesian k-means," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recog., Jun. 2013, pp. 3017-3024.
31. F. Perronnin, J. Sánchez, and T. Mensink, "Improving the fisher kernel for large-scale image classification," in Proc. ECCV, pp. 143-156.
32. J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman, "Object retrieval with large vocabularies and fast spatial matching," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recog., Jun. 2007, pp. 1-8.
33. D. Qin, S. Gammeter, L. Bossard, T. Quack, and L. van Gool, "Hello neighbor: Accurate object retrieval with k-reciprocal nearest neighbors," in Proc. IEEE Int. Conf.Comput. Vis. Pattern Recog., Jun. 2011, pp. 777-784.
34. D. Qin, C. Wengert, and L. van Gool, "Query adaptive similarity for large scale object retrieval," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recog., Jun. 2013, pp. 1610-1617.
35. E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, "ORB: An efficient alternative to sift or surf," in Proc. Int. Conf. Comput. Vis., Nov. 2011, pp. 2564-2571.
36. X. Shen, Z. Lin, J. Brandt, S. Avidan, and Y. Wu, "Object retrieval and localization with spatially-constrained similarity measure and k-NN reranking," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recog., Jun. 2012, pp. 3013-3020.
37. J. Sivic and A. Zisserman, "Video Google: A text retrieval approach to object matching in videos," inProc. Int. Conf. Comput. Vis., Oct. 2003, vol. 2, pp. 1470-1477.
38. C. Szegedy, T. Alexander, and E. Dumitru, "Deep neural networks for object detection," in Proc. NIPS, 2013, pp. 2553-2561.
39. E. Tomita, A. Tanaka, and H. Takahashi, "The worst-case time complexity for generating all maximal cliques and computational experiments," Theoretical Comput. Sci., vol. 363, no. 1, pp. 28-42, 2006.
40. L. Torresani, M. Szummer, and A. Fitzgibbon, "Efficient object category recognition using classemes," in Proc. ECCV, pp. 776-789.
41. J. Wang, K. Sanjiv, and S.-F. Chang, "Semi-supervised hashing for large-scale search," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 12, pp. 2393-2406, Dec. 2012.
42. X. Wang, M. Yang, T. Cour, S. Zhu, K. Yu, and T. X. Han, "Contextual weighting for vocabulary tree based image retrieval," in Proc. Int. Conf. Comput. Vis., Nov. 2011, pp. 209-216.
43. Z. Wu, Q. Ke, M. Isard, and J. Sun, "Bundling feature for large scale partial-duplicated web image search," in Proc. IEEE Int.Conf. Comput. Vis. Pattern Recog., Jun. 2009, pp. 25-32.
44. G. Ye, D. Liu, I.-H. Jhuo, and S.-F. Chang, "Robust late fusion with rank minimization," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recog., Jun. 2012, pp. 3021-3028.
45. F. X. Yu, R. Ji, M.-H. Tsai, G. Ye, and S.-F. Chang, "Weak attributes for large-scale image retrieval," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recog., Jun. 2012, pp. 2949-2956.
46. S. Zhang, Q. Huang, G. Hua, S. Jiang, W. Gao, and Q. Tian, "Building contextual visual vocabulary for large-scale image applications," in Proc. ACM Multimedia, 2010, pp. 501-510.
47. S. Zhang, Q. Tian, G. Hua, Q. Huang, and W. Gao, "Objectpatchnet: Towards scalable and semantic image annotation and retrieval," Comput. Vis. Image Understand., no. 118, pp. 16-29, 2014.
48. S. Zhang, Q. Tian, Q. Huang, W. Gao, and Y. Rui, "Cascade categoryaware visual search," IEEE Trans. Image Process., vol. 23, no. 6, pp. 2514-2527, Jun. 2014.
49. S. Zhang, Q. Tian, Q. Huang, W. Gao, and Y. Rui, "USB: Ultra short binary descriptor for fast visual matching and retrieval," IEEE Trans. Image Process., vol. 23, no. 8, pp. 3671-3683, Aug. 2014.
50. S. Zhang, Q. Tian, K. Lu, Q. Huang, and W. Gao, "Edge-SIFT: Discriminative binary descriptor for scalable partial-duplicate mobile search," IEEE Trans. Image Process., vol. 22, no. 7, pp. 2889-2902, Jul. 2013.
51. S. Zhang, M. Yang, T. Cour, K. Yu, and D. N. Metaxas, "Query specific fusion for image retrieval," in Proc. ECCV, 2012, pp. 660-673.
52. S. Zhang, M. Yang, X. Wang, Y. Lin, and Q. Tian, "Semantic-aware co-indexing for image retrieval," in Proc. Int. Conf. Comput. Vis., Dec. 2013, pp. 1673-1680.
53. S. Zhang, M. Yang, X. Wang, Y. Lin, and Q. Tian, "Semantic-aware co-indexing for image retrieval," IEEE Trans. Pattern Anal. Mach. Intell., to be published.
54. Y. Zhang, Z. Jia, and T. Chen, "Image retrieval with geometry-preserving visual phrases," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recog., Jun. 2011, pp. 809-816.
55. W. Zhou, Y. Lu, H. Li, Y. Song, and Q. Tian, "Spatial coding for large scale partial-duplicate web image search," in Proc. ACM Multimedia, 2010, pp. 511-520.