Please wait a minute...
New Technology of Library and Information Service  2011, Vol. 27 Issue (9): 41-45    DOI: 10.11925/infotech.1003-3513.2011.09.07
Current Issue | Archive | Adv Search |
Design of Online System for Trademark Retrieval Based on Composite Features
Zhang Wanting1, Wang Bin1,2
1. Information Engineering College, Nanjing University of Finance and Economics, Nanjing 210046,China;
2. Key Laboratory of Electronic Business, Nanjing University of Finance and Economics, Nanjing 210046,China
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  This paper introduces a method for trademark retrieval system using combination features. In this method, a color histogram is first generated for color description, 2D Fourier transform and Zernike moment are then combined to apply to shape features extraction. This method is evaluated on MPEG-7 CE2B and 1 000 trademark images database and is compared with the existing methods. The experimental results show that the performance of this method is acceptable.
Key wordsTrademark retrieval      Color histogram      2D Fourier transform      Zernike moment     
Received: 23 June 2011      Published: 02 December 2011
: 

G354.4

 

Cite this article:

Zhang Wanting, Wang Bin. Design of Online System for Trademark Retrieval Based on Composite Features. New Technology of Library and Information Service, 2011, 27(9): 41-45.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2011.09.07     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2011/V27/I9/41

[1] 中国商标网[EB/OL]. [2011-06-03]. http://sbcx.saic.gov.cn/trade/.

[2] 章毓晋.基于内容的视觉信息检索[M].北京:科学出版社,2003:78-102.

[3] 芮晓光,袁平波,何芳,等.一种新的基于语义聚类和图算法的自动图像标注方法[J].中国图像图形学报,2007,12(2):239-244.

[4] 文燕平.基于内容的图像检索系统研究[J].现代图书情报技术,2001(1):45-47.

[5] Flickner M, Sawhney H S, Ashley J, et al. Query by Image and Video Content: The QBIC System[J].IEEE Computers,1995,28(19): 23-32.

[6] Autonomy Virage[EB/OL]. [2011-06-03].http://www.virage.com.

[7] Ortega-Binderberger M, Mehrotra S. Relevance Feedback Techniques in the MARS Image Retrieval System[J].Multimedia Systems,2004,9(6):535-547.

[8] Li J, Wang J Z. Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach[J]. IEEE Transaction on Pattern Analysis and Machine Intelligence,2003,25(9):1075-1088.

[9] 梁永全. 基于内容的多媒体信息检索的研究[D]. 北京:中国科学院研究生院,1999.

[10] 王向阳,杨红颖,郑宏亮,等.基于视觉权值的分块颜色直方图图像检索算法[J].自动化学报,2010,36(10):10-36.

[11] Zhang D S,Lu G J. Enhanced Generic Fourier Descriptors for Object - based Image Retrieval[C].In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing.2002,4: 3668-3671.

[12] Teague M R. Image Analysis via the General Theory of Moments[J].Journal of the Optical Society of America,1980,70(8):920-930.

[13] 熊回香.基于内容的图像检索技术的发展方向[J].现代图书情报技术,2004(12): 32-35.
[1] Huang Kun,Lai Maosheng. Research on the Techniques of Trademark Image Retrieval[J]. 现代图书情报技术, 2004, 20(4): 32-36.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn