Fast image copy detection approach based on local fingerprint defined visual words

Signal Processing

Volumn 93, Issue 8, 2013, Pages 2328-2338

  Ling, Hefei ^a   Yan, Lingyu ^a   Zou, Fuhao ^a   Liu, Cong ^a   Feng, Hui ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Copy detection; Fingerprinting; Histogram intersection; Near duplicate retrieval; Visual words

Indexed keywords

COPY DETECTION; FINGERPRINTING; HISTOGRAM INTERSECTION; NEAR- DUPLICATES; VISUAL WORD;

ELECTRICAL ENGINEERING; SIGNAL PROCESSING;

GRAPHIC METHODS;

EID: 84876294123     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2012.08.011     Document Type: Article

References (28)

1. S. Avidan, A. Shamir, Seam carving for content-aware image resizing, ACM Transactions on Graphics 26 (2007).
2. S.A. Berrani, L. Amsaleg, P. Gros, Robust content-based image searches for copyright protection, in: Proceedings of the 1st ACM international workshop on Multimedia Databases, MMDB '03, ACM, New York, NY, USA, 2003, pp. 70-77.
3. G. Carneiro, A.D. Jepson, Flexible Spatial Models for Grouping Local Image Features, CVPR, IEEE Computer Society, Washington, DC, USA, 2004, pp. 747-754.
4. M. Datar, N. Immorlica, P. Indyk, V.S. Mirrokni, Locality-sensitive hashing scheme based on p-stable distributions, in: Proceedings of the Twentieth Annual Symposium on Computational Geometry, SCG '04, ACM, New York, NY, USA, 2004, pp. 253-262.
5. J.J. Foo, R. Sinha, Pruning sift for scalable near-duplicate image matching, in: Proceedings of the Eighteenth Conference on Australasian Database, ADC '07, Australian Computer Society, Inc., Darlinghurst, Australia, Australia, 2007, pp. 63-71.
6. P. Indyk, R. Motwani, Approximate nearest neighbors: towards removing the curse of dimensionality, in: Proceedings of the Thirtieth Annual ACM Symposium on Theory of Computing, STOC '98, ACM, New York, NY, USA, 1998, pp. 604-613.
7. H. Jegou, M. Douze, C. Schmid, Hamming embedding and weak geometric consistency for large scale image search, in: ECCV '08, Springer-Verlag, Berlin, Heidelberg, 2008, pp. 304-317.
8. H. Jegou, M. Douze, C. Schmid, P. Pérez, Aggregating local descriptors into a compact image representation, in: CVPR, IEEE Computer Society, Washington, DC, USA, 2010, pp. 3304-3311.
9. A. Joly, O. Buisson, and C. Frelicot Content-Based copy retrieval using distortion-based probabilistic similarity search IEEE Transactions on Multimedia 9 2007 293 306
10. Y. Ke, R. Sukthankar, Pca-sift: a more distinctive representation for local image descriptors, in: Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'04, IEEE Computer Society, Washington, DC, USA, 2004, pp. 506-513.
11. Y. Ke, R. Sukthankar, L. Huston, Efficient near-duplicate and sub-image retrieval, in: ACM Multimedia, ACM, New York, NY, USA, 2004, pp. 869-876.
12. P. Li, M. Wang, J. Cheng, C. Xu, Spectral hashing with semantically consistent graph for image indexing, IEEE Transactions on Multimedia, Published online, doi:10.1109/TMM.2012.2199970 (2012).
13. D.G. Lowe Distinctive image features from scale-invariant keypoints International Journal of Computer Vision 60 2004 91 110
14. Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li, Multi-probe lsh: efficient indexing for high-dimensional similarity search, in: VLDB '07, VLDB Endowment, 2007, pp. 950-961.
15. Y. Meng, E. Chang, B. Li, Enhancing dpf for near-replica image recognition, in: CVPR, vol. 2, IEEE Computer Society, Washington, DC, USA, 2003, pp. II-416-423.
16. K. Mikolajczyk, and C. Schmid Scale and affine invariant interest point detectors International Journal of Computer Vision 60 2004 63 86
17. K. Mikolajczyk, and C. Schmid A performance evaluation of local descriptors IEEE Transactions on Pattern Analysis and Machine Intelligence 27 2005 1615 1630
18. F. Petitcolas Watermarking schemes evaluation IEEE Signal Processing Magazine 17 2000 58 64
19. J. Philbin, O. Chum, M. Isard, J. Sivic, A. Zisserman, Object retrieval with large vocabularies and fast spatial matching, in: CVPR, IEEE Computer Society, Washington, DC, USA, 2007.
20. S. Poullot, M. Crucianu, O. Buisson, Scalable mining of large video databases using copy detection, in: ACM Multimedia, ACM, New York, NY, USA, 2008, pp. 61-70.
21. J. Sivic, A. Zisserman, Video google: a text retrieval approach to object matching in videos, in: ICCV '03, IEEE Computer Society, Washington, DC, USA, 2003, pp. 1470-1477.
22. P. Tirilly, V. Claveau, P. Gros, Language modeling for bag-of-visual words image categorization, in: CIVR '08, ACM, New York, NY, USA, 2008, pp. 249-258.
23. M. Wang, X.S. Hua, J. Tang, and R. Hong Beyond distance measurement: Constructing neighborhood similarity for video annotation IEEE Transactions on Multimedia 11 2009 465 476
24. M. Wang, K. Yang, X.S. Hua, and H.J. Zhang Towards a relevant and diverse search of social images IEEE Transactions on Multimedia 12 2010 829 842
25. Y. Weiss, A. Torralba, R. Fergus, Spectral hashing, in: NIPS, MIT Press, Cambridge, MA, USA, 2008, pp. 1753-1760.
26. J. Yang, Y.G. Jiang, A.G. Hauptmann, C.W. Ngo, Evaluating bag-of visual-words representations in scene classification, in: MIR '07, ACM, New York, NY, USA, 2007, pp. 197-206.
27. D. Zhang, J. Wang, D. Cai, J. Lu, Self-taught hashing for fast similarity search, in: SIGIR, ACM, New York, NY, USA, 2010, pp. 18-25.
28. Q.F. Zheng, W.Q. Wang, W. Gao, Effective and efficient object-based image retrieval using visual phrases, in: ACM Multimedia, ACM, New York, NY, USA, 2006, pp. 77-80.