Learning salient visual word for scalable mobile image retrieval

Pattern Recognition

Volumn 48, Issue 10, 2015, Pages 3093-3101

  Yang, Xiyu ^a   Qian, Xueming ^a   Mei, Tao ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

Mobile image retrieval; Multiple relevant photos; Salient visual word (SVW); Scalable retrieval; Spatial verification

Indexed keywords

CONTENT BASED RETRIEVAL;

COMPUTATIONAL COSTS; CONTENT BASED IMAGE RETRIEVAL; LIMITED BANDWIDTH; MULTIPLE RELEVANT PHOTOS; RETRIEVAL PERFORMANCE; SCALABLE RETRIEVAL; SPATIAL VERIFICATIONS; VISUAL WORD;

BANDWIDTH;

EID: 84931574348     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2014.12.017     Document Type: Article

References (57)

1. J. Sivic, A. Zisserman, Video google: a text retrieval approach to object matching in videos, in: Proceedings of ICCV, 2003.
2. D.G. Lowe Distinctive image features from scale-invariant keypoints IJCV 60 2 2004 91 110
3. H. Bay, T. Tuytelaars, L.V. Gool, Surf: speeded up robust features, in: Proceedings of ECCV, 2006
4. D. Nistér, H. Stewénius, Scalable recognition with a vocabulary tree, in: Proceedings of CVPR, 2006.
5. O. Chum, J. Philbin, J. Sivic, M. Isard, A. Zisserman, Total recall: automatic query expansion with a generative feature model for object retrieval, in: Proceedings of ICCV, 2007.
6. O. Chum, A. Mikulík, M. Perdoch, J. Matas, Total recall II: query expansion revisited, in: Proceedings of CVPR, 2011.
7. R. Arandjelovic, A. Zisserman, Three things everyone should know to improve object retrieval, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2012.
8. J. Philbin, O. Chum, M. Isard, J. Sivic, A. Zisserman, Lost in quantization: improving particular object retrieval in large scale image datasets, in: Proceedings of CVPR, 2008.
9. W. Tang, R. Cai, Z. Li, L. Zhang, Contextual synonym dictionary for visual object retrieval, in: Proceedings of ACM MM, 2011.
10. E. Gavves, Cees G.M. Snoek, Landmark image retrieval using visual synonyms, in: Proceedings of ACM, MM, 2010.
11. E. Gavves, C. Snoek, and A. Smeulders, Visual synonyms for landmark image retrieval, in: Proceedings of CVIU, 2011.
12. A. Mikulik, M. perdoch, O.Chum, J. Matas, Learning a fine vocabulary, in: Proceedings of ECCV, 2010, pp. 1-14.
13. Y. Xue, X. Qian, B. Zhang, Mobile image retrieval using multi-photo as query, in: Proceedings of ICMEW, 2013.
14. J. Chen, B. Feng, L. Zhu, P. Ding, B. Xu, Effective near-duplicate image retrieval with image-specific visual phrase selection, in: Proceedings of ICIP, 2010.
15. S. Zhang, Q. Tian, G. Hua, Q. Huang, S. Li, Descriptive visual words and visual phrases for image, in: Proceedings of ACM MM, 2009.
16. M.A. Fischler, and R.C. Bolles Random sample consensus Commun. ACM 24 6 1981 381 395
17. W. Zhou, Y. Lu, H. Li, Y. Song, Q. Tian, Spatial coding for large scale partial-duplicate web image search, in: Proceedings of ACM MM, 2010.
18. X. Wang, M. Yang, T. Cour, S. Zhu, K. Yu, T. Han, Contextual weighting vocabulary tree based image retrieval, in: Proceedings of ICCV, 2011.
19. M. Perdoch, O. Chum, J. Matas, Efficient representation of local geometry for large scale object retrieval, in: Proceedings of CVPR, 2009.
20. M. Marszałek, C. Schmid, Spatial weighting for bag-of-features, in: Proceedings of CVPR, 2006.
21. S. Zhang, Q. Huang, G. Hua, S. Jiang, W. Gao, Q. Tian, Building contextual visual vocabulary for large-scale image application, in: Proceedings of ACM MM, October 2010.
22. J. Lin, L.Y. Duan, J. Chen, R. Ji, Learning multiple codebooks for low bit rate mobile visual search, in: Proceedings of ICASSP, 2012, pp. 933-936.
23. R. Ji, L.Y. Duan, J. Chen, H. Yao, Y. Rui, and W. Gao Location discriminative vocabulary coding for mobile landmark search 96 2012 290 314 Int. J. Comput. Vis. 96 2012 290 314
24. Y. Wu, S. Lu, T. Mei, J. Zhang, S. Li, Local visual words coding for low bit rate mobile visual search, in: Proceedings of ACM Multimedia, 2012, pp. 989-992.
25. V. Chandrasekhar, G. Takacs, D. Chen, S. Tsai, CHoG: Compressed histogram of gradients A low bit-rate feature descriptor, in: Proceedings of CVPR, 2009.
26. B. Girod, V. Chandrasekhar, D. Chen, N. Cheung, R. Grzeszczuk, Y. Reznik, G. Takacs, S. Tsai, and R. Vedantham Mobile visual search IEEEE Signal Process. Mag. 28 2011 61 76
27. Y. Ke, R. Sukthankar, PCA-SIFT: a more distinctive representation for local image descriptors, in: Proceedings of CVPR, 2004.
28. D. Chen, S. Tsai, V. Chandrasekhar, G. Takacs, Tree histogram coding for mobile image matching, in: Proceedings of DCC, 2009, pp. 143-152.
29. J. Chen, L.Y. Duan, R. Ji, W. Gao, Pruning tree-structured vector quantizer towards low bit rate mobile visual search, in: Proceedings of ICASSP, 2012, pp. 965-968.
30. Z. Wu, Q. Ke, M. Isard, J. Sun, Bundling features for large scale partial-duplicate web image search, in: Proceedings of CVPR, 2009.
31. J. Yuan, Y. Wu, M. Yang, Discovery of collocation patterns: from visual words to visual phrases, in: Proceedings of CVPR, June 2007, pp. 1-8.
32. Y. Zhang, Z. Jia, T. Chen, Image retrieval with geometry-preserving visual phrases, in: Proceedings of CVPR, 2011.
33. O.A.B. Penatti, F.B. Silva, E. Valle, V. Gouet-Brunet, R. da, and S. Torres Visual word spatial arrangement for image retrieval and classification Pattern Recognit. 47 2 2014 705 720
34. B. Fernando, T. Tuytelaars, Mining multiple queries for image retrieval: on-the-fly learning of an object-specific mid-level representation, in: Proceedings of ICCV, 2013.
35. Y. Xue, X. Qian, Visual summarization of landmarks via viewpoint modeling, in: Proceedings of IEEE International Conference on Image Processing, 2012.
36. S. Chatzichristofis, and Y. Boutalis CEDD: Color and edge directivity descriptor: a compact descriptor for image indexing and retrieval Comput. Vis. Syst. 5008 2008 312 322
37. R. Ji, H. Yao, W. Liu, X. Sun, and Q. Tian Task-dependent visual codebook compression IEEE Trans. Image Process. 21 4 2012 2282 2293
38. R. Tibshirani Regression shrinkage and selection via the Lasso. J. R. Stat. Soc. 58 1 1996 267 288
39. A. Qamra, and E. Chang Scalable landmark recognition using EXTENT Multimed. Tools Appl. 38 2 2008 187 208
40. J. Li, X. Qian, Y. Tang, L. Yang, GPS estimation from users' photos, in: Proceedings of MMM, 2013, pp. 118-129.
41. R. Ji, L. Duan, J. Chen, W. Gao, Towards compact topical descriptor, in: Proceedings of CVPR, 2012.
42. H. Li, Y. Wang, T. Mei, J. Wang, and S. Li Interactive multimodal visual search on mobile device IEEE Trans. Multimed. 15 3 2013 594 607
43. J. Sang, T. Mei, Y. Xu, C. Zhao, C. Xu, and S. Li Interaction design for mobile visual search IEEE Trans. Multimed. 15 7 2013 1665 1676
44. X. Yang, L. Liu, X. Qian, T. Mei, J. Shen, Q. Tian, Mobile visual search via hierarchical sparse coding, in: Proceedings of ICME, 2014.
45. J. Li, X. Qian, Y. Tang, L. Yang, and T. Mei. GPS estimation for places of interest from social users' uploaded photos IEEE Trans. Multimed. 15 8 2013 2058 2071
46. Y. Yang, F. Nie, D. Xu, J. Luo, Y. Zhuang, and Y. Pan. A multimedia retrieval framework based on semi-supervised ranking and relevance feedback IEEE Trans. Pattern Anal. Mach. Intell. 34 4 2012 723 742
47. L. Shao, L. Liu, and X. Li Feature learning for image classification via multi-objective genetic programming IEEE Trans. Pattern Anal. Mach. Intell. 25 7 2014 1359 1371
48. Y. Yang, Z. Ma, A.G. Hauptmann, and N. Sebe Feature selection for multimedia analysis by sharing information among multiple tasks IEEE Trans. Multimed. 15 3 2013 661 669
49. C. Yang, J. Shen, J. Peng, and J. Fan Image collection summarization via dictionary learning for sparse representation Pattern Recognit. 46 3 2013 948 961
50. W. Min, B. Bao, and C. Xu Multimodal spatio-temporal theme modeling landmark analysis IEEE Multimed. 21 3 2014 20 29
51. J. Huang, H. Liu, J. Shen, S. Yan, Towards efficient sparse coding for scalable image annotation, in: Proceedings of ACM MM, 2013.
52. L. Shao, F. Zhu, and X. Li. Transfer learning for visual categorization: a survey IEEE Trans. Neural Netw. Learn. Syst. 2014 10.1109/TNNLS.2014.2330900
53. F. Zhu, and L. Shao. Weakly-supervised cross-domain dictionary learning for visual recognition Int. J. Comput. Vis. 109 1-2 2014 42 59
54. X. Qian, Y. Xue, Y. Tang, X. Hou, and T. Mei Landmark summarization with diverse viewpoints IEEE Trans. Circuits Syst. Vid. Technol. 2015 10.1109/TCSVT.2014.2369731
55. X. Li, C. Wu, C. Zach, S. Lazebnik, J. Frahm, Modeling and recognition of landmark image collections using iconic scene graphs, in: Proceedings of ECCV, 2008, pp. 427-440.
56. Y. Fu, Z. Li, T.S. Huang, and A.K. Katsaggelos Locally adaptive subspace and similarity metric learning for visual clustering and retrieval Comput. Vis. Image Underst. (CVIU), Spec. Issue Similarity Matching Comput. Vis. Multimed. 110 3 2008 390 402
57. S. Li, T. Liu, D. Tao, T.S. Huang, Y. Fu. Learning relative features through adaptive pooling for image classification, in: Proceedings of IEEE International Conference on Multimedia and Expo (ICME), 2014, pp. 1-6.