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Volumn , Issue , 2001, Pages 221-230

An extendible hash for multi-precision similarity querying of image databases

Author keywords

[No Author keywords available]

Indexed keywords

COLOR; GRAPHIC METHODS;

EID: 84944325291     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (44)

References (21)
  • 5
    • 0031162081 scopus 로고    scopus 로고
    • The SR-tree: An index structure for high-dimensional nearest neighbor queries
    • May
    • N. Katayama and S. Satoh. The SR-tree: An index structure for high-dimensional nearest neighbor queries. In Proc. ACM SIGMOD Int. Conf. on Management of Data, pages 369-380, May 1997.
    • (1997) Proc ACM SIGMOD Int. Conf. on Management of Data , pp. 369-380
    • Katayama, N.1    Satoh, S.2
  • 6
    • 85024539092 scopus 로고
    • Multdimensional order preserving linear hashing with partial expansion
    • September
    • H.-P. Kriegel and B. Seeger. Multdimensional order preserving linear hashing with partial expansion. In Proc. Int. Conf. on Database Theory, pages 203-220, September 1986.
    • (1986) Proc. Int. Conf. on Database Theory , pp. 203-220
    • Kriegel, H.-P.1    Seeger, B.2
  • 7
    • 0023169406 scopus 로고
    • Multidimensional quantile hashing is very efficient or non-uniform record distribution
    • February
    • H.-P. Kriegel and B. Seeger. Multidimensional quantile hashing is very efficient or non-uniform record distribution. In Proc. Third Int. Conf. on Data Engineering, pages 10-17, February 1987.
    • (1987) Proc. Third Int. Conf. on Data Engineering , pp. 10-17
    • Kriegel, H.-P.1    Seeger, B.2
  • 8
    • 0024706134 scopus 로고
    • Multidimensional quantile hashing is very efficient or non-uniform record distribution
    • H.-P. Kriegel and B. Seeger. Multidimensional quantile hashing is very efficient or non-uniform record distribution. Informaion Science, 48:99-117, 1989.
    • (1989) Informaion Science , vol.48 , pp. 99-117
    • Kriegel, H.-P.1    Seeger, B.2
  • 9
    • 3042739371 scopus 로고    scopus 로고
    • Multiscale similarity matching for subimage queries of arbitrary size
    • May
    • K. Leung and R. T. Ng. Multiscale similarity matching for subimage queries of arbitrary size. In Proc. 4th Working Conf. on Visual Database Syst., pages 243-264, May 1998.
    • (1998) Proc. 4th Working Conf. on Visual Database Syst. , pp. 243-264
    • Leung, K.1    Ng, R.T.2
  • 11
    • 0033344754 scopus 로고    scopus 로고
    • Multilevel filtering for highdimensional image data: Why and how
    • November/December
    • R. T. Ng and D. Tam. Multilevel filtering for highdimensional image data: Why and how. IEEE Trans. on Knowledge and Data Engineering, 11(6), November/December 1999.
    • (1999) IEEE Trans. on Knowledge and Data Engineering , vol.11 , Issue.6
    • Ng, R.T.1    Tam, D.2
  • 12
  • 14
    • 0020976779 scopus 로고
    • Storage mappings for multidimensional linear dynamic hashing
    • May
    • M. Ouksel and P. Scheuermann. Storage mappings for multidimensional linear dynamic hashing. In Proceedings of ACM PODS, pages 90-105, May 1983.
    • (1983) Proceedings of ACM PODS , pp. 90-105
    • Ouksel, M.1    Scheuermann, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.