메뉴 건너뛰기




Volumn 36, Issue 3 PART 1, 2009, Pages 4451-4459

Ensemble one-class support vector machines for content-based image retrieval

Author keywords

Content based image retrieval; Ensemble; Relevance feedback; Support vector machines

Indexed keywords

CONTENT BASED RETRIEVAL; IMAGE ENHANCEMENT; SEMANTICS;

EID: 58749090421     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.05.037     Document Type: Article
Times cited : (30)

References (25)
  • 1
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges C.J.C. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery 2 2 (1998) 121-167
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 2
    • 34249753618 scopus 로고
    • Support vector networks
    • Cortes C., and Vapnik V. Support vector networks. Machine Learning 20 3 (1995) 273-297
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 3
    • 85118285916 scopus 로고    scopus 로고
    • Cour, T., Benezit, F., & Shi, J. (2005). Spectral segmentation with multi-scale graph decomposition. In Proceedings of the IEEE international conference on computer vision and pattern recognition (CVPR), San Diego, CA, USA, June 20-25 (Vol. 1, pp. 2-9).
    • Cour, T., Benezit, F., & Shi, J. (2005). Spectral segmentation with multi-scale graph decomposition. In Proceedings of the IEEE international conference on computer vision and pattern recognition (CVPR), San Diego, CA, USA, June 20-25 (Vol. 1, pp. 2-9).
  • 4
    • 0022098435 scopus 로고
    • Uncertainty relation for resolution in space, spatial-frequency, and orientation optimized by two-dimensional visual cortical filters
    • Daugman J.G. Uncertainty relation for resolution in space, spatial-frequency, and orientation optimized by two-dimensional visual cortical filters. Journal of the Optical Society of America 2 7 (1985) 1160-1169
    • (1985) Journal of the Optical Society of America , vol.2 , Issue.7 , pp. 1160-1169
    • Daugman, J.G.1
  • 6
    • 0036650802 scopus 로고    scopus 로고
    • Learning similarity measure for natural image retrieval with relevance feedback
    • Guo G.D., Jain A.K., Ma W.Y., and Zhang H.J. Learning similarity measure for natural image retrieval with relevance feedback. IEEE Transactions on Neural Networks 13 4 (2002) 811-820
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.4 , pp. 811-820
    • Guo, G.D.1    Jain, A.K.2    Ma, W.Y.3    Zhang, H.J.4
  • 11
    • 0034441543 scopus 로고    scopus 로고
    • Hong, P., Tian, Q., & Huang, T. S. (2000). Incorporate support vector machines to content-based image retrieval with relevance feedback. In international conference on image processing, Vancouver, BC, Canada, September 10-13 (Vol. 3, pp. 750-753).
    • Hong, P., Tian, Q., & Huang, T. S. (2000). Incorporate support vector machines to content-based image retrieval with relevance feedback. In international conference on image processing, Vancouver, BC, Canada, September 10-13 (Vol. 3, pp. 750-753).
  • 12
    • 58749093243 scopus 로고    scopus 로고
    • Ishikawa, Y., Subramanya, R., & Faloutsos, C. (1998). Mindreader: Query databases through multiple examples. In Proceedings of the 24th VLDB conference, New York, USA, August 24-27 (pp. 433-438).
    • Ishikawa, Y., Subramanya, R., & Faloutsos, C. (1998). Mindreader: Query databases through multiple examples. In Proceedings of the 24th VLDB conference, New York, USA, August 24-27 (pp. 433-438).
  • 14
    • 0042784817 scopus 로고    scopus 로고
    • Joint semantics and feature-based image retrieval using relevance feedback
    • Lu Y., Zhang H., Liu W.Y., and Hu C.H. Joint semantics and feature-based image retrieval using relevance feedback. IEEE Transactions on Multimedia 5 3 (2003) 339-347
    • (2003) IEEE Transactions on Multimedia , vol.5 , Issue.3 , pp. 339-347
    • Lu, Y.1    Zhang, H.2    Liu, W.Y.3    Hu, C.H.4
  • 16
    • 0038167068 scopus 로고    scopus 로고
    • A model of multimedia information retrieval
    • Meghini C., Sebastiani F., and Straccia U. A model of multimedia information retrieval. Journal of the ACM 48 5 (2001) 909-970
    • (2001) Journal of the ACM , vol.48 , Issue.5 , pp. 909-970
    • Meghini, C.1    Sebastiani, F.2    Straccia, U.3
  • 17
    • 0032636367 scopus 로고    scopus 로고
    • Probabilistic feature relevance learning for content-based image retrieval
    • Peng J., Bhanu B., and Qing S. Probabilistic feature relevance learning for content-based image retrieval. Computer Vision and Image Understanding 75 1-2 (1999) 150-164
    • (1999) Computer Vision and Image Understanding , vol.75 , Issue.1-2 , pp. 150-164
    • Peng, J.1    Bhanu, B.2    Qing, S.3
  • 18
    • 0033698733 scopus 로고    scopus 로고
    • Rui, Y., & Huang, T. (2000). Optimizing learning in image retrieval. In IEEE conference on computer vision and pattern recognition, Hilton Head Island, SC, June 13-15 (Vol. 1, pp. 236-243).
    • Rui, Y., & Huang, T. (2000). Optimizing learning in image retrieval. In IEEE conference on computer vision and pattern recognition, Hilton Head Island, SC, June 13-15 (Vol. 1, pp. 236-243).
  • 19
    • 0031339847 scopus 로고    scopus 로고
    • Rui, Y., Huang, T. S., & Mehrotra, S. (1997). Content-based image retrieval with relevance feedback in MARS. In International conference on image processing, Santa Barbara, CA, USA, October 26-29 (Vol. 2, pp. 815-818).
    • Rui, Y., Huang, T. S., & Mehrotra, S. (1997). Content-based image retrieval with relevance feedback in MARS. In International conference on image processing, Santa Barbara, CA, USA, October 26-29 (Vol. 2, pp. 815-818).
  • 21
    • 0029725713 scopus 로고    scopus 로고
    • Smith, J. R., & Chang, S. F. (1996). Automated binary texture feature sets for image retrieval. In IEEE international conference proceedings of acoustics, speech, and signal processing, Atlanta, GA, USA, May 7-10 (Vol. 4, pp. 2239-2242).
    • Smith, J. R., & Chang, S. F. (1996). Automated binary texture feature sets for image retrieval. In IEEE international conference proceedings of acoustics, speech, and signal processing, Atlanta, GA, USA, May 7-10 (Vol. 4, pp. 2239-2242).
  • 22
    • 0029452570 scopus 로고    scopus 로고
    • Stricker, M. A., & Orengo, M. (1995). Similarity of color images. In Proceedings of SPIE, San Jose, CA, USA, February (Vol. 2420, pp. 381-392).
    • Stricker, M. A., & Orengo, M. (1995). Similarity of color images. In Proceedings of SPIE, San Jose, CA, USA, February (Vol. 2420, pp. 381-392).
  • 24
    • 34249293148 scopus 로고    scopus 로고
    • Yang, C., Dong, M., & Fotouhi, F. (2005). Semantic feedback for interactive image retrieval. In Proceedings of the 13th annual ACM international conference on Multimedia, Hilton, Singapore, November 6-11 (pp. 415-418).
    • Yang, C., Dong, M., & Fotouhi, F. (2005). Semantic feedback for interactive image retrieval. In Proceedings of the 13th annual ACM international conference on Multimedia, Hilton, Singapore, November 6-11 (pp. 415-418).
  • 25
    • 0034792754 scopus 로고    scopus 로고
    • Zhou, X. S., & Huang, T. S. (2001). Comparing discriminating transformations and SVM for learning during multimedia retrieval. In Proceeding of the 9th ACM international conference on multimedia, Ottawa, Canada, September 30-October 5 (Vol. 9, pp. 137-146).
    • Zhou, X. S., & Huang, T. S. (2001). Comparing discriminating transformations and SVM for learning during multimedia retrieval. In Proceeding of the 9th ACM international conference on multimedia, Ottawa, Canada, September 30-October 5 (Vol. 9, pp. 137-146).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.