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ACKNOWLEDGEMENTS
We’d like to thank the Glenn MacStravic from the World
Intellectual Property Organization for his ongoing support
and critical reflection and discussion of our work.
REFERENCES
[1] S. Agarwal, N. Chaturvedi, and P. K. Johari, “Content based trademark
retrieval by integrating shape with colour and texture information,”
International Journal of Signal Processing, Image Processing and
Pattern Recognition, vol. 7, no. 4, pp. 295–302, 2014.
[2] S. Belongie and J. Malik, “Matching with shape contexts,” in Content-
based Access of Image and Video Libraries, 2000. Proceedings. IEEE
Workshop on, 2000, pp. 20–26.
[3] S. Belongie, J. Malik, and J. Puzicha, “Shape matching and object
recognition using shape contexts,” Pattern Analysis and Machine
Intelligence, IEEE Transactions on, vol. 24, no. 4, pp. 509–522, Apr
2002.
[4] A. Bosch, A. Zisserman, and X. Munoz, “Representing shape with a
spatial pyramid kernel,” in Proceedings of the 6th ACM International
Conference on Image and Video Retrieval, ser. CIVR ’07. New
York, NY, USA: ACM, 2007, pp. 401–408. [Online]. Available:
http://doi.acm.org/10.1145/1282280.1282340
[5] A. Cerri, M. Ferri, and D. Giorgi, “A new framework for trademark
retrieval based on size functions,” Vision, Video, and Graphics, 2005.
[6] S. Chatzichristofis and Y. Boutalis, “Fcth: Fuzzy color and texture
histogram - a low level feature for accurate image retrieval,” in Image
Analysis forMultimediaInteractiveServices,2008.WIAMIS’08.Ninth
International Workshop on, May 2008, pp. 191–196.
[7] B. D. Cullity, Introduction to Magnetic Materials. Reading, MA:
Addison-Wesley, 1972.
[8] R. Datta, D. Joshi, J. Li, and J. Z. Wang, “Image retrieval:
Ideas, influences, and trends of the new age,” ACM Comput.
Surv., vol. 40, no. 2, pp. 5:1–5:60, May 2008. [Online]. Available:
http://doi.acm.org/10.1145/1348246.1348248
[9] J. Eakins, J. Boardman, and K. Shields, “Retrieval of trade mark
images by shape feature-the artisan project,” in Intelligent Image
Databases, IEE Colloquium on, May 1996, pp. 9/1–9/6.
[10] R. K. Gupta and S. D. Senturia, “Pull-in time dynamics as a measure
of absolute pressure,” in Proc. IEEE International Workshop on Mi-
croelectromechanical Systems (MEMS’97), Nagoya, Japan, Jan. 1997,
pp. 290–294.
[11] D.-C. He and L. Wang, “Texture unit, texture spectrum, and texture
analysis,” Geoscience and Remote Sensing, IEEE Transactions on,
vol. 28, no. 4, pp. 509–512, Jul 1990.
[12] C. Iakovidou, “Development, implementation and evaluation of meth-
ods for the description and the retrieval of multimedia visual content
using intelligent techniques,” pp. 84–100.
[13] T. Iwanaga, H. Hama, T. Toriu, and T. T. Zin, “A modified histogram
approach to trademark image retrieval,” International Journal of
Computer Science and Network Security, vol. 11, no. 4, April 2011.
[14] R. Jain, K. K. Ramakrishnan, and D. M. Chiu, “Congestion avoidance
in computer networks with a connectionless network layer,” Digital
Equipment Corporation, MA, Tech. Rep. DEC-TR-506, Aug. 1987.
[15] T. Kato, “Database architecture for content-based image retrieval,”
pp. 112–123, 1992. [Online]. Available: http://dx.doi.org/10.1117/12.
58497
[16] L. Knoch, “Content based search and retrieval in visual trademarks
and logos,” 2016.
[17] Q. Li, “Delay characterization and performance control of wide-area
networks,” Ph.D. dissertation, Univ. of Delaware, Newark, May 2000.
[Online]. Available: http://www.ece.udel.edu/∼qli
[18] A. Lipani, M. Lupu, and A. Hanbury, “Splitting water: Precision
and anti-precision to reduce pool bias,” in Proceedings of the 38th
International ACM SIGIR Conference on Research and Development
in Information Retrieval. ACM, 2015, pp. 103–112.
[19] M. Lux and S. A. Chatzichristofis, “Lire: Lucene image retrieval:
An extensible java cbir library,” in Proceedings of the 16th ACM
International Conference on Multimedia, ser. MM ’08. New
York, NY, USA: ACM, 2008, pp. 1085–1088. [Online]. Available:
http://doi.acm.org/10.1145/1459359.1459577
[20] A. Nigam, A. K. Garg, and R. Tripathi, “Content based trademark
retrieval by integrating shape with colour and texture information,”
International Journal of Computer Applications, vol. 22, no. 7, May
2011. [21] W. I. P. Organization, International Classification of the Figurative
Elements of Marks: Vienna Classification, ser. WIPO publication.
World Intellectual Property Organization, 1997. [Online]. Available:
https://books.google.at/books?id=nw3QAAAACAAJ
[22] M. Rusin˜ol, D. Aldavert, D. Karatzas, R. Toledo, and J. Llado´s,
“Interactive trademark image retrieval by fusing semantic and visual
content,” in Advances in Information Retrieval - 33rd European
Conference on IR Research, ECIR 2011, Dublin, Ireland, April
18-21, 2011. Proceedings, 2011, pp. 314–325. [Online]. Available:
http://dx.doi.org/10.1007/978-3-642-20161-5 32
[23] Z. Shaaban, “Trademark image retrieval system using neural net-
works,” International Journal of Computer Science and Network,
vol. 3, no. 1, February 2014.
[24] W. V. Sorin, “Optical reflectometry for component characterization,”
in Fiber Optic Test and Measurement, D. Derickson, Ed. Englewood
Cliffs, NJ: Prentice-Hall, 1998.
[25] TM5,“Reporton theTM5imagesearchproject,”2015,ProjectReport.
[26] R. H. van Leuken, M. F. Demirci, V. J. Hodge, J. Austin, and R. C.
Veltkamp, “Layout indexing of trademark images,” in Proceedings of
the 6th ACM International Conference on Image and Video Retrieval,
ser. CIVR ’07. New York, NY, USA: ACM, 2007, pp. 525–532.
[Online]. Available: http://doi.acm.org/10.1145/1282280.1282356
[27] C.-H. Wei, Y. Li, W. Y. Chau, and C.-T. Li, “Trademark image
retrieval using synthetic features for describing global shape and
interior structure,” Pattern Recognition, vol. 42, no. 3, pp. 386–394,
2009.
[28] J. Wu, C. Lam, B. Mehtre, Y. Gao, and A. Narasimhalu, “Content-
based retrieval for trademark registration,” Multimedia Tools and
Applications, vol. 3, no. 3, pp. 245–267, 1996. [Online]. Available:
http://dx.doi.org/10.1007/BF00393940
[29] K. Zagoris, S. Chatzichristofis, N. Papamarkos, and Y. Boutalis,
“Automatic image annotation and retrieval using the joint composite
descriptor,” in Informatics (PCI), 2010 14th Panhellenic Conference
on, Sept 2010, pp. 143–147.
[30] S. Zhang, C. Zhu, J. K. O. Sin, and P. K. T. Mok, “A novel ultrathin
elevated channel low-temperature poly-Si TFT,” IEEE Electron Device
Lett., vol. 20, pp. 569–571, Nov. 1999.
96
Proceedings of the OAGM&ARW Joint Workshop
Vision, Automation and Robotics
- Title
- Proceedings of the OAGM&ARW Joint Workshop
- Subtitle
- Vision, Automation and Robotics
- Authors
- Peter M. Roth
- Markus Vincze
- Wilfried Kubinger
- Andreas Müller
- Bernhard Blaschitz
- Svorad Stolc
- Publisher
- Verlag der Technischen Universität Graz
- Location
- Wien
- Date
- 2017
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-85125-524-9
- Size
- 21.0 x 29.7 cm
- Pages
- 188
- Keywords
- Tagungsband
- Categories
- International
- Tagungsbände