메뉴 건너뛰기




Volumn 21, Issue 4, 2012, Pages 735-746

Combining LVQ with SVM technique for image semantic annotation

Author keywords

Affinity propagation algorithm; Image semantic annotation; Learning vector quantization; Support vector machine

Indexed keywords

AFFINITY PROPAGATION; EXPERIMENTAL STUDIES; FEATURE VECTORS; IMAGE SEMANTIC ANNOTATION; LEARNING VECTOR QUANTIZATION; SMALL SAMPLE SIZE; SVM CLASSIFIERS; TRAINING SAMPLE; TRAINING SETS;

EID: 84861199585     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-011-0651-1     Document Type: Article
Times cited : (5)

References (28)
  • 7
    • 0141836773 scopus 로고    scopus 로고
    • Automatic linguistic indexing of pictures by a statistical modeling approach
    • Li J, Wang J (2003) Automatic linguistic indexing of pictures by a statistical modeling approach. IEEE Trans Pattern Anal Mach Intell 25(9): 1075-1088.
    • (2003) IEEE Trans Pattern Anal Mach Intell , vol.25 , Issue.9 , pp. 1075-1088
    • Li, J.1    Wang, J.2
  • 8
    • 0037282477 scopus 로고    scopus 로고
    • Content-based soft annotation for multimodal image retrieval using Bayes point machines
    • Chang E, Goh K, Sychay G, Wu G (2003) Content-based soft annotation for multimodal image retrieval using Bayes point machines. IEEE Trans Circ Syst Video Technol 13((1): 26-38.
    • (2003) IEEE Trans Circ Syst Video Technol , vol.13 , Issue.1 , pp. 26-38
    • Chang, E.1    Goh, K.2    Sychay, G.3    Wu, G.4
  • 10
    • 77952545766 scopus 로고    scopus 로고
    • Improving image annotation via representative feature vector selection
    • Lin W, Oakes M, Tait J (2010) Improving image annotation via representative feature vector selection. Neurocomputing 73: 1774-1782.
    • (2010) Neurocomputing , vol.73 , pp. 1774-1782
    • Lin, W.1    Oakes, M.2    Tait, J.3
  • 14
    • 34447645656 scopus 로고    scopus 로고
    • Evaluating the performance in automatic image annotation: example case by adaptive fusion of global image features
    • Viitaniemi V, Laaksonen J (2007) Evaluating the performance in automatic image annotation: example case by adaptive fusion of global image features. Image Comm 22(6): 557-568.
    • (2007) Image Comm , vol.22 , Issue.6 , pp. 557-568
    • Viitaniemi, V.1    Laaksonen, J.2
  • 16
    • 34248589188 scopus 로고    scopus 로고
    • Image semantics discovery from web pages for semantic-based image retrieval using self-organizing maps
    • Yang H, Lee C (2008) Image semantics discovery from web pages for semantic-based image retrieval using self-organizing maps. Expert Syst Appl 34: 266-279.
    • (2008) Expert Syst Appl , vol.34 , pp. 266-279
    • Yang, H.1    Lee, C.2
  • 17
    • 79851469986 scopus 로고    scopus 로고
    • Feature data optimization with LVQ technique in semantic image annotation
    • Cairo, Egypt
    • Jiang ZH, He J, Guo P (2010) Feature data optimization with LVQ technique in semantic image annotation. In: Proceedings of ISDA2010, Cairo, Egypt, pp 906-911.
    • (2010) Proceedings of ISDA2010 , pp. 906-911
    • Jiang, Z.H.1    He, J.2    Guo, P.3
  • 18
    • 33847172327 scopus 로고    scopus 로고
    • Clustering by passing messages between data points
    • Frey BJ, Dueck D (2007) Clustering by passing messages between data points. Science 315: 972-976.
    • (2007) Science , vol.315 , pp. 972-976
    • Frey, B.J.1    Dueck, D.2
  • 19
    • 50649119439 scopus 로고    scopus 로고
    • Non-metric affinity propagation for unsupervised image categorization
    • Rio De Janeiro, Brazil
    • Dueck D, Frey BJ (2007) Non-metric affinity propagation for unsupervised image categorization. In: Proceedings of IEEE international conf. on computer vision, Rio De Janeiro, Brazil, pp 1-8.
    • (2007) Proceedings of IEEE International Conf. On Computer Vision , pp. 1-8
    • Dueck, D.1    Frey, B.J.2
  • 20
    • 76749136398 scopus 로고    scopus 로고
    • Improvement of image modeling with affinity propagation algorithm for image semantic annotation
    • Bangkok, Thailand
    • Yang D, Guo P (2009) Improvement of image modeling with affinity propagation algorithm for image semantic annotation. In: Proceedings of international conference on neural information processing, Bangkok, Thailand, pp 778-787.
    • (2009) Proceedings of International Conference On Neural Information Processing , pp. 778-787
    • Yang, D.1    Guo, P.2
  • 21
    • 80052787137 scopus 로고    scopus 로고
    • Image modeling with combined optimization techniques for image semantic annotation
    • Yang D, Guo P (2010) Image modeling with combined optimization techniques for image semantic annotation. Neural Comput Appl 1-15.
    • (2010) Neural Comput Appl , pp. 1-15
    • Yang, D.1    Guo, P.2
  • 23
    • 0018200258 scopus 로고
    • Texture features corresponding to visual perception
    • Tamura H, Mori S, Yamawaki T (1978) Texture features corresponding to visual perception. IEEE Trans Syst Man Cyb 8(6): 460-473.
    • (1978) IEEE Trans Syst Man Cyb , vol.8 , Issue.6 , pp. 460-473
    • Tamura, H.1    Mori, S.2    Yamawaki, T.3
  • 24
    • 84861202861 scopus 로고    scopus 로고
    • Stanford vision lab
    • Stanford vision lab, http://vision. stanford. edu/resources_links. html.
  • 26
    • 84861191887 scopus 로고    scopus 로고
    • LIBSVM-A
    • LIBSVM-A, http://www. csie. ntu. edu. tw/cjlin/libsvm.
  • 27
    • 84861191661 scopus 로고    scopus 로고
    • VOC2008
    • VOC2008, http://pascallin. ecs. soton. ac. uk/challenges/VOC/voc2008/.
  • 28
    • 44649172193 scopus 로고    scopus 로고
    • A study of regularized Gaussian classifier in high-dimension small sample set case based on MDL principle with application to spectrum recognition
    • Guo P, Jia YD, Lyu MR (2008) A study of regularized Gaussian classifier in high-dimension small sample set case based on MDL principle with application to spectrum recognition. Pattern Recognit 41(9): 2842-2854.
    • (2008) Pattern Recognit , vol.41 , Issue.9 , pp. 2842-2854
    • Guo, P.1    Jia, Y.D.2    Lyu, M.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.