Browse > Article

A study on MPEG-7 descriptor combining method using borda count method  

Eom, Min-Young (Dept. of Electrical and Electronic Engineering, Yonsei University)
Choe, Yoon-Sik (Dept. of Electrical and Electronic Engineering, Yonsei University)
Publication Information
Abstract
In this paper, search result list synthesis method is proposed using borda count method for still image retrieval based on MPEG-7 descriptors. MPEG-7 standardizes descriptors that extract feature information from media data. In many cases, using a single descriptor lacks of correctness, it is suggested to use multiple descriptors to enhance retrieval efficiency. In this paper, retrieval efficiency enhancement is achieved by combining multiple search results which are from each descriptor. In combining search result, newly calculated borda count method is proposed. Comparing current frequency compensated calculation, rank considered frequency compensation is used to score animage in database. This combining method is considered in Content based image retrieval system with relevance feedback algorithm which uses high level information from system user. In each relevance iteration step, adoptive borda count method is used to calculate score of images.
Keywords
Content base image retrieval; MEPG-7; Relevance feedback; Borda count method; Descriptor;
Citations & Related Records
연도 인용수 순위
  • Reference
1 D. R. Heisterkamp, J. Peng and H. K. Dai, 'Feature relevance learning with query shifting for content-based image retrieval,' International Conference on Pattern Recognition, Sept. 2000, vol. 4, pp. 250-253   DOI
2 Text of ISO/IEC 15938-3/FDIS Information technology Multimedia content description interface-Part 3 Visual, 2002
3 Information Technology Multimedia Content Description Interface-Part8: Extraction and use of MPEG7 descriptions, July, 2002
4 B. S. Manjunath, P. Salembier and T. Sikora, 'Introduction to MPEG-7 Multimedia Content Description Interface,' Wiley, 2002
5 S. Y. Jeong, K. H. Kim, B. T. Chun, J. Y. Lee and Y. L. Bae, 'An Effective Method For Combining Multiple Features Of Image Retrieval,' Proceedings of the IEEE Region 10 Conference, Sept. 1999, vol. 2, pp. 982-985   DOI
6 S. J. Yoon, D. K. Park, S. J. Park and C. S. Won, 'Image retrieval using a novel relevance feedback for edge histogram descriptor of MPEG-7,' ICCE International Conference on Consumer Electronics, June 2001, pp. 354-355   DOI
7 Y. Rui, T. S. Huang and S. Mehrotra, 'Content-based image retrieval with relevance feedback in MARS,' International Conference on Image Processing, Oct. 1997, vol. 2, pp. 815-818   DOI
8 H. Muller, W. Muller, S. M. Marchand, T. Pun and D. M. Squire, 'Strategies for positive and negative relevance feedback in image retrieval,' International Conference on Pattern Recognition, Sept. 2000, vol. 1, pp. 1043-1046   DOI
9 S. F. Chang, W. Chen, H. J. Meng, H. Sundaram and D. Zhong, 'A fully automated content-based video search engine supporting spatiotemporal queries,' IEEE Transactions on Circuits and Systems for Video Technology, Sept. 1998, vol. 8, pp. 602-615   DOI   ScienceOn
10 J. Assfalg, A. D. Bimbo and P. Pala, 'Image retrieval by positive and negative examples,' International Conference on Pattern Recognition, Sept. 2000, vol. 4, pp. 267-270   DOI
11 R. Brunelli and O. Mich, 'Image retrieval by examples,' IEEE Transactions on Multimedia, Sept. 2000, vol. 2, pp. 164-171   DOI   ScienceOn