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Volumn 4844 LNCS, Issue PART 2, 2007, Pages 611-620

Content-based image retrieval by indexing random subwindows with randomized trees

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EFFICIENCY; MATHEMATICAL MODELS; TREES (MATHEMATICS);

EID: 38149120847     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-76390-1_60     Document Type: Conference Paper
Times cited : (15)

References (18)
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    • (2001) ACM Computing Surveys , vol.33 , Issue.3 , pp. 322-373
    • Böhm, C.1    Berchtold, S.2    Keim, D.A.3
  • 2
    • 38149142207 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 39(65) (2007)
    • (2007) ACM Computing Surveys , vol.39 , Issue.65
    • Datta, R.1    Joshi, D.2    Li, J.3    Wang, J.Z.4
  • 8
    • 24644478168 scopus 로고    scopus 로고
    • Random subwindows for robust image classification
    • IEEE, Los Alamitos
    • Marée, R., Geurts, P., Piater, J., Wehenkel, L.: Random subwindows for robust image classification. In: Proc. IEEE CVPR, vol. 1, pp. 34-40. IEEE, Los Alamitos (2005)
    • (2005) Proc. IEEE CVPR , vol.1 , pp. 34-40
    • Marée, R.1    Geurts, P.2    Piater, J.3    Wehenkel, L.4
  • 9
    • 33845592987 scopus 로고    scopus 로고
    • Scalable recognition with a vocabulary tree
    • Nistér, D., Stewénius, H.: Scalable recognition with a vocabulary tree. In: Proc. IEEE CVPR, vol. 2, pp. 2161-2168 (2006)
    • (2006) Proc. IEEE CVPR , vol.2 , pp. 2161-2168
    • Nistér, D.1    Stewénius, H.2
  • 10
    • 34948866276 scopus 로고    scopus 로고
    • Learning visual similarity measures for comparing never seen objects
    • IEEE Computer Society Press, Los Alamitos
    • Nowak, E., Jurie, F.: Learning visual similarity measures for comparing never seen objects. In: Proc. IEEE CVPR, IEEE Computer Society Press, Los Alamitos (2007)
    • (2007) Proc. IEEE CVPR
    • Nowak, E.1    Jurie, F.2
  • 11
    • 33745835368 scopus 로고    scopus 로고
    • Nowak, E., Jurie, F., Triggs, B.: Sampling strategies for bag-of-features image classification. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, 3951, pp. 490-503. Springer, Heidelberg (2006)
    • Nowak, E., Jurie, F., Triggs, B.: Sampling strategies for bag-of-features image classification. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 490-503. Springer, Heidelberg (2006)
  • 12
    • 21144434182 scopus 로고    scopus 로고
    • Image retrieval using local compact DCT-based representation
    • Michaelis, B, Krell, G, eds, Pattern Recognition, Springer, Heidelberg
    • Obdržálek, S., Matas, J.: Image retrieval using local compact DCT-based representation. In: Michaelis, B., Krell, G. (eds.) Pattern Recognition. LNCS, vol. 2781, pp. 490-497. Springer, Heidelberg (2003)
    • (2003) LNCS , vol.2781 , pp. 490-497
    • Obdržálek, S.1    Matas, J.2
  • 14
    • 34948903793 scopus 로고    scopus 로고
    • Object retrieval with large vocabularies and fast spatial matching
    • IEEE Computer Society Press, Los Alamitos
    • Philbin, J., Chum, O., Isard, M., Sivic, J., Zisserman, A.: Object retrieval with large vocabularies and fast spatial matching. In: Proc. IEEE CVPR, IEEE Computer Society Press, Los Alamitos (2007)
    • (2007) Proc. IEEE CVPR
    • Philbin, J.1    Chum, O.2    Isard, M.3    Sivic, J.4    Zisserman, A.5
  • 18
    • 33846580425 scopus 로고    scopus 로고
    • Local features and kernels for classification of texture and object categories: A comprehensive study
    • Zhang, J., Marszaek, M., Lazebnik, S., Schmid, C.: Local features and kernels for classification of texture and object categories: a comprehensive study. International Journal of Computer Vision 73, 213-238 (2007)
    • (2007) International Journal of Computer Vision , vol.73 , pp. 213-238
    • Zhang, J.1    Marszaek, M.2    Lazebnik, S.3    Schmid, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.