An Edge-based Image Copy Detection Scheme

• Autorzy: Lin C-C. , Wang S-S.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a novel scheme to detect copied versions of digital images, particularly in an Internet environment based on edge information of images. The edge information is used to generate the signature set for a corresponding image. The edge-based signature sets are then used to compute the distortions between query images and test images, from among which a user wants to find copies. Experimental results confirm that the proposed scheme not only withstands various modifications of an original image but also offers good detection performance in dealing with various rotations, shifting of 17.5% of the width or height of an image, and cutting out up to 45% of the area of an image, which previous research work has found difficult to detect. Therefore, our proposed scheme could be very helpful in detecting copies of digital images transmitted in an Internet environment.

Słowa kluczowe

EN

image compy detection; copyright protection; edge detection; rotation; shifting

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2008
• Tom: Vol. 83, nr 3
• Strony: 299--318
• Opis fizyczny: bibliogr. 18 poz., fot., tab., wykr.

Twórcy

autor

Lin C-C.

autor

Wang S-S.

• Department of Computer Science and Information Management, Providence University, Taichung 433, Taiwan, R.O.C.,

Bibliografia

• [1] Bao, J. P., Shen, J. Y., Liu, X. D., Liu, H. Y., Zhang, X. D.: Document Copy Detection Based on Kernel Method, Proceedings of Natural Language Processing and Knowledge Engineering, Oct. 2003, 250-255.
• [2] Chang, C. C, Tsai, P., Lin, C. C: SVD-based Digital Image Watermarking Scheme, Pattern Recognition Letters, 26(10), 2005, 1577-1586.
• [3] Hwang, M. S., Hwang, K. R, Chang, C. C: A Time-Stamping Protocol for Digital Watermarking, Applied Mathematics and Computation, 169(2), Oct. 2005, 1276-1284.
• [4] Chang, C. C. , Tsai, C. S.: A Technique for Computing Watermarks from Digital Images, Informatica, 24(3), June 2000, 391-396.
• [5] Chang, E. Y., Wang, J. Z., Li, C, Wiederhold, G.: RIME: A Replicated Image Detector for the World-Wide-Web, Proceedings of the SPIE Multimedia Storage and Archiving Systems, San Jose, CA, III, Nov. 1998, 68-77.
• [6] Wu, H. C, Chang, C. C: A Novel Digital Image Watermarking Scheme Based on the Vector Quantization Technique, Computers & Security, 24(6), Sep. 2005,460-471.
• [7] Hampapur, A., Bolle, R. M.: Comparison of Distance Measures for Video Copy Detection, Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), Tokyo, Japan, 2001, 188.
• [8] Hsu, W., Chua, T S., Pung, H. K.: An Integrated Color Spatial Approach to Content-based Image Retrieval, Proceedings of the ACM Multimedia, San Francisco, CA, 1995, 305-313.
• [9] Kim, C: Content-based Image Copy Detection, Signal Processing Image Communication, 18, 2003, 169-184.
• [10] Kim, C, Vasudev, B.: Spatiotemporal Sequence Matching for Efficient Video Copy Detection, IEEE Transactions on Circuits and Systems for Video Technology, 15(1), Jan. 2005, 127-132
• [11] Wu, M. N., Lin, C. C, Chang, C. C: A Robust Content-Based Copy Detection Scheme, Fundamenta Informaticae, 71(2-3), 2006, 351-366.
• [12] Nikolaou, N., Papamarkos, N.: Color Image Retrieval Using a Fractal Signature Extraction Technique, Engineering Application of Artificial Intelligenc, 15, 2002, 81-96.
• [13] Wang, J. Z., Li, J., Wiederhold, G.: SIMPLicity: Semantics Sensitive Integrated Matching for Picture Libraries, IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(9), 2001, 947-963.
• [14] Cheng, Y., Zhang, J.: An Algorithm for the Illegal Copying Detection of Digital Documents, Proceedings of Natural Language Processing and Knowledge Engineering (IEEE NLP-KE '05), Oct. 2005, 384-387.
• [15] Niblack, W., Barber, R., Equitz, W., Flickner, M., Glasman, E., Petkovic, D., Yanker, P., Faloutsos, C: The QBIC Project: Querying Images by Content Using Color, Texture, and Shape, IBM Research J., 9203(81511), 1993.
• [16] Ogle, V., Stonebraker, M.: Chabot: Retrieval from a Relational Database of Images, Computer, 28(9), 1995, 40-48.
• [17] Pentland, A., Ricard, R., Sclaroff, S.: Photobook: Content-Based Manipulation of Image Databases, International Journal of Computer Vision, 18(3), 1996,233-255.
• [18] Gevers, T., Smeulders, A. W. M.: PicToSeek: Combining Color and Shape Invariant Features for Image Retrieval, IEEE Trans. Image Processing, 9(1), Jan. 2000, 102-119