Combination of SIFT feature and convex region-based global context feature for image copy detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9023, Issue , 2015, Pages 60-71

  Zhou, Zhili ^a   Sun, Xingming ^a   Wang, Yunlong ^a   Fu, Zhangjie ^a   Shi, Yun Qing ^a  

^a NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

Author keywords

Convex region; Copy attacks; Global context information; Image copy detection

Indexed keywords

SEMANTICS;

CONTENT BASED IMAGES; CONTEXT INFORMATION; CONVEX REGION; COPY ATTACKS; CROPPING ATTACKS; GLOBAL CONTEXT; IMAGE COPY DETECTION; SCALE INVARIANT FEATURE TRANSFORMS;

FEATURE EXTRACTION;

EID: 84983656492     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-19321-2_5     Document Type: Conference Paper

References (20)

1. Kim, C.: Content-based image copy detection. Sig. Process. Image Commun. 18(3), 169–184 (2003)
2. Hsiao, J.-H., et al.: A new approach to image copy detection based on extended feature sets. IEEE Trans. Image Process. 16(8), 2069–2079 (2007)
3. Joly, A., et al.: Content-based copy retrieval using distortion-based probabilistic similarity search. IEEE Trans. Multimedia 9(2), 293–305 (2007)
4. Wu, M.-N., et al.: Novel image copy detection with rotating tolerance. J. Syst. Softw. 80(7), 1057–1069 (2007)
5. Lin, C.-C., Wang, S.-S.: An edge-based image copy detection scheme. Fundamenta Informaticae 83(3), 299–318 (2008)
6. Sukthankar R., Ke, Y., Huston, L.: Efficient near-duplicate detection and subimage retrieval, In: Proceedings of the 12th ACM International Conference on Multimedia (Multimedia), pp. 869−876, New York (2004)
7. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision 60(2), 91–110 (2004)
8. Ke, Y., Sukthankar, R.: 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, 27 June−2 July 2004, Los Alamitos, pp. 506-513 (2004)
9. Bay, H., et al.: Speeded-up robust features (SURF). Comput. Vis. Image Underst. 110, 346–359 (2008)
10. Mortensen, E.N., et al.: A SIFT descriptor with global context. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, 20−25, June, 2005, San Diego, CA, United states, pp. 184−190 (2005)
11. Xu, Z., et al.: A novel image copy detection scheme based on the local multi-resolution histogram descriptor. Multimedia Tools Appl. 52(2−3), 445–463 (2011)
12. Ling, H.F., et al.: PM-DFT: a new local invariant descriptor towards image copy detection. J. Comput. Sci. Technol. 26(3), 558–567 (2011)
13. Ling, H., et al.: Efficient image copy detection using multiscale fingerprints. IEEE Multimedia 19, 60–69 (2012)
14. Mikolajczyk, K., et al.: A comparison of affine region detectors. Int. J. Comput. Vision 65 (1−2), 43–72 (2005)
15. Zhou, W., et al.: Spatial coding for large scale partial-duplicate web image search. In: 18th ACM International Conference on Multimedia ACM Multimedia 2010, MM 2010, 25−29 October 2010, Firenze, Italy, pp. 511−520 (2010)
16. Jegou, H., Douze, M., Schmid, C.: Hamming embedding and weak geometric consistency for large scale image search. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 304–317. Springer, Heidelberg (2008)
17. Fischler, M.A., Bolles, R.C.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24(6), 381–395 (1981)
18. Graham, R.L.: An efficient algorithm for determining the convex hull of a finite planar set. Inf. Process. Lett. 1, 132–133 (1972)
19. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: Schmid, C. (ed.) IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 886–893. IEEE Computer Soc, Los Alamitos (2005)
20. Li, J.: http://sites.stat.psu.edu/jiali/, 2003