Acknowledgement
Supported by : 덕성여자대학교
References
- Patent Image Databases [Online]. Available: http://mklab.iti.gr/project/patentbase (downloaded 2014, May)
- A. Tiwari and V. Bansal, "PATSEEK: content based image retrieval system for patent database," Proc. of the ICEB, pp. 1167-1171, 2004.
- LTU Technologies, "ImageSeeker" [Online]. Available: http://www.ltutech.com/en/ (downloaded 2013, Nov.)
- S. Vrochidis, A. Moumtzidou, G. Ypma, and I. Kompatsiaris, "PatMedia: augmenting patent search with content-based image retrieval," Proc. of the 5th Information Retrieval Facility Conference 2012, pp. 109-112, 2012.
- ISO/IEC JTC1/SC29/WG11/N4063: "MPEG-7 XML document: MPEG-7 visual part experimentation model version 10.0," MPEG document N4063, 2001.
- A.K. Jain and A. Vailaya, "Shape-based retrieval: a case study with trademark image database," Pattern Recognition, Vol. 31, No. 9, pp. 1369-1390, 1998. https://doi.org/10.1016/S0031-3203(97)00131-3
- A. Chalechale, A. Mertins, and G. Naghdy, "Edge image description using angular radial partitioning," IEE Proceedings-Vision, Image and Signal Processing, Vol. 141, Issue 2, pp. 93-101, 2004.
- Z. Zhiyuan, Z. Juan and X. Bin, "An outwardappearance patent-image retrieval approach based on the contour-description matrix," Proc. of the 2007 Japan-China Joint Workshop on Frontier of Computer Science and Technology, pp. 86-89, 2007.
- D.G. Lowe, "Distinctive image features from scaleinvariant keypoints," International Journal of Computer Vision, Vol. 60, No. 2, pp. 91-110, 2004. https://doi.org/10.1023/B:VISI.0000029664.99615.94
- H. Bay and T. Tuytelaars and L.V. Gool, "SURF: Speeded Up Robust Features," Computer Vision and Image Understanding, Vol. 110, Issue 3, pp. 346- 359, 2008. https://doi.org/10.1016/j.cviu.2007.09.014