메뉴 건너뛰기




Volumn 6218 LNCS, Issue , 2010, Pages 708-717

Interactive image retrieval using smoothed nearest neighbor estimates

Author keywords

CBIR; image retrieval framework; relevance feedback

Indexed keywords

CBIR; CONTENT BASED IMAGE RETRIEVAL SYSTEMS; DISTANCE-BASED; FEATURE SETS; GIVEN FEATURES; INTERACTIVE IMAGE RETRIEVAL; NEAREST NEIGHBORS; NEAREST-NEIGHBOR APPROACHES; RELEVANCE FEEDBACK; RETRIEVAL FRAMEWORKS; SEMANTIC GAP; SIMILARITY MEASURE; STANDARD FORM;

EID: 77958512910     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14980-1_70     Document Type: Conference Paper
Times cited : (5)

References (17)
  • 1
    • 43249093335 scopus 로고    scopus 로고
    • Image retrieval: Ideas, influences, and trends of the new age
    • Datta, R., Joshi, D., Li, J., Wang, J. Z.: Image retrieval: Ideas, influences, and trends of the new age. ACM Computing Surveys 40(2), 1-60 (2008)
    • (2008) ACM Computing Surveys , vol.40 , Issue.2 , pp. 1-60
    • Datta, R.1    Joshi, D.2    Li, J.3    Wang, J.Z.4
  • 4
    • 0037708475 scopus 로고    scopus 로고
    • Relevance feedback for image retrieval: A comprehensive review
    • Zhou, X., Huang, T.: Relevance feedback for image retrieval: a comprehensive review. Multimedia systems 8(6), 536-544 (2003)
    • (2003) Multimedia Systems , vol.8 , Issue.6 , pp. 536-544
    • Zhou, X.1    Huang, T.2
  • 6
    • 84898994776 scopus 로고    scopus 로고
    • Instance-based relevance feedback for image retrieval
    • Saul, L. K., Bottou, Y. W. eds., MIT, Cambridge
    • Giacinto, G., Roli, F.: Instance-based relevance feedback for image retrieval. In: Saul, L. K., Bottou, Y. W. (eds.) Advances in Neural Information Processing Systems, vol. 17, pp. 489-496. MIT, Cambridge (2005)
    • (2005) Advances in Neural. Information Processing Systems , vol.17 , pp. 489-496
    • Giacinto, G.1    Roli, F.2
  • 8
    • 0033334587 scopus 로고    scopus 로고
    • Relevance feedback mechanism for content-based image retrieval
    • DOI 10.1016/S0306-4573(99)00021-7
    • Ciocca, G., Schettini, R.: A relevance feedback mechanism for content-based image retrieval. Information processing and management 35(1), 605-632 (1999) (Pubitemid 30508640)
    • (1999) Information Processing and Management , vol.35 , Issue.5 , pp. 605-632
    • Ciocca, G.1    Schettini, R.2
  • 11
    • 33845913054 scopus 로고    scopus 로고
    • Nearest-neighbor methods in learning and vision: Theory and practice
    • MIT Press, Cambridge
    • Shakhnarovich, G., Darrell, T., Indyk, P.: Nearest-Neighbor Methods in Learning and Vision: Theory and Practice. In: Neural Information Processing. The MIT Press, Cambridge (2006)
    • (2006) Neural. Information Processing
    • Shakhnarovich, G.1    Darrell, T.2    Indyk, P.3
  • 13
    • 27744468378 scopus 로고    scopus 로고
    • Learning prototypes and distances: A prototype reduction technique based on nearest neighbor error minimization
    • Paredes, R., Vidal, E.: Learning prototypes and distances: A prototype reduction technique based on nearest neighbor error minimization.. Pattern Recognition 39(2), 180-188 (2006)
    • (2006) Pattern Recognition , vol.39 , Issue.2 , pp. 180-188
    • Paredes, R.1    Vidal, E.2
  • 14
    • 34547973397 scopus 로고    scopus 로고
    • The imabalanced training sample problem: Under or over sampling?
    • Fred, A., Caelli, T. M., Duin, R. P. W., Campilho, A. C., de Ridder, D. eds., Springer, Heidelberg
    • Barandela, R., Valdovinos, R., Sanchez, J., Ferri, F.: The imabalanced training sample problem: Under or over sampling? In: Fred, A., Caelli, T. M., Duin, R. P. W., Campilho, A. C., de Ridder, D. (eds.) SSPR&SPR 2004. LNCS, vol. 3138, pp. 806-814. Springer, Heidelberg (2004)
    • (2004) SSPR&SPR 2004. LNCS , vol.3138 , pp. 806-814
    • Barandela, R.1    Valdovinos, R.2    Sanchez, J.3    Ferri, F.4
  • 17


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.