Development of Content-Based Trademark Retrieval System on the World Wide Web

ETRI Journal

关键词: multimedia information retrieval;    Zernike Moments;    trademark retrieval;    content-based image information retrieval;   

Others  :  1184269
DOI  :  10.4218/etrij.99.0199.0103

【 摘 要 】

In this paper, we describe a new trademark retrieval system based upon the content or the shape of trademark. The system has an on-line graphical user interface for the World Wide Web (WWW) that allows user to provide a query in forms of a sketch or a vis

   

【 参考文献 】

• [1]V.N. Gudivada and V.V. Raghavan, "Content-Based Image Retrieval Systems," IEEE Computer, Sep., 1995, pp. 18-22.
• [2]B. Andrews, "U.S. Patent and Trademark Office ORBIT Trademark Retrieval System," T-tenn User Guide, Examining Attorney
• [3]W.Y. Kirn, and P. Yuan, "A Practical Pattern Recognition System for Translation, Scale and Rotation Invariance," Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition, June, pp. 391-396.
• [4]S.R. Chang, "Content-Based Indexing and Retrieval of Visual Information," IEEE Signal Processing Magazine, July, 1997, pp. 45-48.
• [5]ISO/IEC JTCI/SC29AVGI l N1410, Description ofMPEG-4, MPEG document N1410, Oct. 1996
• [6]ISO/IEC JTCI/SC29AVG11, MPEG-7: Context and Objectives, Feb. 1997
• [7]Toshikazu Kato, "Database architecture for content-based image retrieval," Proceedings of SPIE - The International Society for Optical Engineering, vol. 1662, 1992, pp. 112-123.
• [8]G. Cortelazzo, G.A. Mian, G. Vezzi and P. Zamperoni, "Trademark shapes description by string-matching techniques," Pattern Recognition, vol. 27, no. 8, 1994, pp. 1005-1018.
• [9]J.P. Eakins, "Retrieval of Trademark Images by Shape Feature," Proc. of Int. Conf. on Electronic Library and Visual Information Research, May 1994, pp. 101-109.
• [10]John P. Eakins, Kevin Shields and Jago Boardman, "ARTISAN: a shape retrieval system based on boundary family indexing," Proceedings of SPIE - The International Society for Optical Engineering, vol. 2670, 1996, pp. 17-28.
• [11]C.P. Lam, J.K. Wu, and B. Mehtre, "STAR-A System for Trademark Archival and Retrieval," Proceedings 2nd Asian Conf. on Computer Vision, vol. 3, 1995, pp. 214-217.
• [12]A.D. Bimbo and P. Pala, "Image Indexing Using Shape-Based Visual Features," Proc. of IEEE Int. Conf. on Pattern Recognition, vol. 3, 1996, pp. 351-355.
• [13]F. Mokhtarian, S. Abbasi and J. Kittler, "Efficient and Robust Retrieval by Shape Content through Curvature Scale Space," Proc. of Int. Workshop on Image Databases and Multimedia Search, Amsterdam, the Netherlands, 1996.
• [14]J. Bigun, S.K. Bhattacharjee and S. Michel, "Orientation Radiograms for Image Retrieval: An Alterative to Segmentation," Proc. of IEEE Int. Conf. on Pattern Recognition, vol. 3, 1996, pp. 346-350.
• [15]A.K. Jain, and A. Vailaya, "Image retrieval using color and shape," Pattern Recognition, vol. 29, no. 8, 1996, pp. 1233-1244.
• [16]A. Vailaya, Z. Yu and A.K. Jain, "A Hierarchical System for Efficient Image Retrieval," Proc. of IEEE Int. Conf. on Pattern Recognition, vol. 3, 1996, pp. 356-360.
• [17]A. Vailaya, Z. Yu and A.K. Jain, "ShapeBased Retrieval: A Case Study with Trademark Image Databases," Proc. of IEEE Int. Conf. on Pattern Recognition, vol. 31, no. 9, 1998, pp. l369-1390.
• [18]B. Kroepelien, A. Vailaya and A.K. Jain, "Image Database: A Case Study in Norwegian Silver Authentication," Proc. of IEEE Int. Conf. on Pattern Recognition, vol. 3, 1996, pp. 370-374.
• [19]A.K. Jain, Z. Yu and S. Lakshmanan, "Object matching using deformable templates," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 3, 1996, pp. 267-278.
• [20]Alireza Khotanzad and Yaw Hua Hong, "Invariant image recognition by Zernike moments," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 5, pp. 489-497.
• [21]Michael Reed Teague, "IMAGE ANALYSIS VIA THE GENERAL THEORY OF MOMENTS," Journal of the Optical Society of America, vol. 70, no. 8, 1980, pp. 920-930.
• [22]A. Khotanzad and Y.H. Hong, "Rotation invariant image recognition using features selected via a systematic method," Pattern Recognition, vol. 23, no. 10, 1990, pp. 1089-1101.
• [23]R.J. Prokop and A.P. Reeves, "A survey of moment-based techniques for unoccluded object representation and recognition," CVGIP: Graphical Models and Image Processing, vol. 54, no. 5, 1992, pp. 438-460.
• [24]Cho-Huak Teh and Roland T. Chin, "ON IMAGE ANALYSIS BY THE METHODS OF MOMENTS," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 10, no. 4, 1988, pp. 496-513.
• [25]W.Y. Kirn, "An Analytical and Experimental Study of Binary Image Normalization for Scale Invariance with Zernike Moments," Journal of Electrical Engineering and Information Science, vol. 2, no. 6, Dec. 1997.
• [26]J.L. Dévore, Probability and Statistics for Engineering and the Sciences, 3rd Ed., Bookes/Cole, Pacific Grove, Clif, 1991.
• [27]D.L. Swets, "Using discriminant eigenfeatures for image retrieval," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 8, 1996, pp. 831-836.
• [28]H.K. Roh, B.W. Hwang, J.S. Moon and S.W. Lee, "The State of the Art in Content-Based Image Retrieval," The Magazine of the Korea Institute of Telematics and Electronics, vol. 25, no. 8, pp. 20-29.
• [29]Y.S. Kirn, "Content-based Trademark Retrieval System," http://sejong.etri.re.kr/green40,orhttp://trademark.hanyang.ac.kr.