Speed-up Multi-modal Near Duplicate Image Detection
Affiliation(s)
1CSIRO Sustainable Ecosystems, Carmody Road, St. Lucia Queensland, Australia 2CSIRO Sustainable Ecosystems, Highett, Australia.
1CSIRO Sustainable Ecosystems, Carmody Road, St. Lucia Queensland, Australia 2CSIRO Sustainable Ecosystems, Highett, Australia.
ABSTRACT
Near-duplicate image detection is a necessary operation to refine image search results for efficient user exploration. The existences of large amounts of near duplicates require fast and accurate automatic near-duplicate detection methods. We have designed a coarse-to-fine near duplicate detection framework to speed-up the process and a multi-modal integra-tion scheme for accurate detection. The duplicate pairs are detected with both global feature (partition based color his-togram) and local feature (CPAM and SIFT Bag-of-Word model). The experiment results on large scale data set proved the effectiveness of the proposed design.
Near-duplicate image detection is a necessary operation to refine image search results for efficient user exploration. The existences of large amounts of near duplicates require fast and accurate automatic near-duplicate detection methods. We have designed a coarse-to-fine near duplicate detection framework to speed-up the process and a multi-modal integra-tion scheme for accurate detection. The duplicate pairs are detected with both global feature (partition based color his-togram) and local feature (CPAM and SIFT Bag-of-Word model). The experiment results on large scale data set proved the effectiveness of the proposed design.
Cite this paper
C. Yang, J. Peng and J. Fan, "Speed-up Multi-modal Near Duplicate Image Detection," Open Journal of Applied Sciences, Vol. 3 No. 1, 2013, pp. 16-21. doi: 10.4236/ojapps.2013.31B004.
C. Yang, J. Peng and J. Fan, "Speed-up Multi-modal Near Duplicate Image Detection," Open Journal of Applied Sciences, Vol. 3 No. 1, 2013, pp. 16-21. doi: 10.4236/ojapps.2013.31B004.
References
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[1] Sebe, N., Lew, M., and Huijsmans, D. “Multi-scale sub-image search,” Proceedings of the seventh ACM international conference on Multimedia (Part 2) (1999), ACM, pp. 79–82. [2] Wang, B., Li, Z., Li, M., and Ma, W. “Large-scale duplicate detection for web image search,” In Multimedia and Expo, 2006, pp. 353–356. [3] Thomee, B., Huiskes, M., Bakker, E., and Lew, M. “Large scale image copy detection evaluation,” In Proceedings of the 1st ACM international conference on Multimedia information retrieval (2008), ACM, pp. 59–66. [4] Tang, F., and Gao, Y. “Fast near duplicate detection for personal image collections,” In Proceedings of the 17th ACM international conference on Multimedia (2009), ACM, pp. 701–704. [5] Wu, X., Ngo, C., Hauptmann, A., and Tan, H. “Real-time near-duplicate elimination for web video search with content and context,” IEEE Transactions on Multimedia 11, 2 (2009), 196–207. [6] Jaimes, A., Chang, S., and Loui, A. “Detection of non-identical duplicate consumer photographs,” In Information, Communications and Signal Processing, 2003, vol. 1, IEEE, pp. 16–20. [7] Zhang, D., and Chang, S. “Detecting image near-duplicate by stochastic attributed relational graph matching with learning,” In Proceedings of the 12th annual ACM international conference on Multimedia (2004), ACM, pp. 877–884. [8] Tang, F., and Gao, Y. “Fast near duplicate detection for personal image collections,” In Proceedings of the 17th ACM international conference on Multimedia (2009), ACM, pp. 701–704. [9] Jing, Y., Baluja, S., and Rowley, H. “Canonical image selection from the web,” In Proceedings of the 6th ACM international Conference on Image and Video Retrieval (2007), ACM, pp. 280–287. [10] Ke, Y., Sukthankar, R., and Huston, L. “Efficient near-duplicate detection and sub-image retrieval,” In ACM Multimedia (2004), vol. 4, p. 5. [11] Qiu, G. “Image coding using a coloured pattern appearance model,” In Visual Communication and Image Processing (2001). [12] Lowe, D. “Distinctive image features from scale-invariant key points,” Interna-tional journal of computer vision 60, 2 (2004), 91–110. [13] Wang, B., Li, Z., Li, M., and Ma, W. “Large-scale duplicate detection for web image search,” In Multimedia and Expo, 2006 IEEE International Con-ference on (2006), pp. 353–356.