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Volumn 2, Issue , 2005, Pages 1180-1184

A pivot-based index structure for combination of feature vectors

Author keywords

Combination of features; Content based indexing and retrieval; Nearest neighbor queries

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; IMAGING TECHNIQUES; INDEXING (OF INFORMATION); MULTIMEDIA SYSTEMS; PROBLEM SOLVING; REAL TIME SYSTEMS; VECTORS;

EID: 33644530027     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1066677.1066945     Document Type: Conference Paper
Times cited : (13)

References (10)
  • 2
    • 0038670812 scopus 로고    scopus 로고
    • Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases
    • C. Böhm, S. Berchtold, and D. Keim. Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases. ACM Computing Surveys, 33(3):322-373, 2001.
    • (2001) ACM Computing Surveys , vol.33 , Issue.3 , pp. 322-373
    • Böhm, C.1    Berchtold, S.2    Keim, D.3
  • 4
    • 0041339760 scopus 로고    scopus 로고
    • Pivot selection techniques for proximity searching in metric spaces
    • B. Bustos, G. Navarro, and E. Chávez. Pivot selection techniques for proximity searching in metric spaces. Pattern Recognition Letters, 24(14):2357-2366, 2003.
    • (2003) Pattern Recognition Letters , vol.24 , Issue.14 , pp. 2357-2366
    • Bustos, B.1    Navarro, G.2    Chávez, E.3
  • 7
    • 84944885995 scopus 로고    scopus 로고
    • Combining features for content-based sketch retrieval - A comparative evaluation of retrieval performance
    • Springer-Verlag
    • D. Heesch and S. Rüger. Combining features for content-based sketch retrieval - a comparative evaluation of retrieval performance. In Proc. 24th BCS-IRSG European Colloquium on IR Research, pages 41-52. Springer-Verlag, 2002.
    • (2002) Proc. 24th BCS-IRSG European Colloquium on IR Research , pp. 41-52
    • Heesch, D.1    Rüger, S.2
  • 10
    • 0344630325 scopus 로고    scopus 로고
    • Evaluation of key frame-based retrieval techniques for video
    • M. Pickering and S. Rüger. Evaluation of key frame-based retrieval techniques for video. Computer Vision and Image Understanding, 92:217-235, 2003.
    • (2003) Computer Vision and Image Understanding , vol.92 , pp. 217-235
    • Pickering, M.1    Rüger, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.